| Preface |
|
xvii | |
| NIPS Committees |
|
xxi | |
| Reviewers |
|
xxiii | |
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Part I Algorithms and Architectures |
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Efficient Multiscale Sampling from Products of Gaussian Mixtures |
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1 | (8) |
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Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles |
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9 | (8) |
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Hierarchical Topic Models and the Nested Chinese Restaurant Process |
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17 | (8) |
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Max-Margin Markov Networks |
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25 | (8) |
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Invariant Pattern Recognition by Semi-Definite Programming Machines |
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33 | (8) |
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Learning a Distance Metric from Relative Comparisons |
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41 | (8) |
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1-norm Support Vector Machines |
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49 | (8) |
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Image Reconstruction by Linear Programming |
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57 | (8) |
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Multiple-Instance Learning via Disjunctive Programming Boosting |
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65 | (8) |
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Convex Methods for Transduction |
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73 | (8) |
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Kernel Dimensionality Reduction for Supervised Learning |
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81 | (8) |
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Clustering with the Connectivity Kernel |
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89 | (8) |
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Efficient and Robust Feature Extraction by Maximum Margin Criterion |
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97 | (8) |
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Sparse Greedy Minimax Probability Machine Classification |
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105 | (8) |
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Sequential Bayesian Kernel Regression |
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113 | (8) |
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Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms |
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121 | (8) |
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Dynamical Modeling with Kernels for Nonlinear Time Series Prediction |
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129 | (8) |
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Extreme Components Analysis |
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137 | (8) |
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Christopher K. I. Williams |
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Linear Dependent Dimensionality Reduction |
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145 | (8) |
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Locality Preserving Projections |
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153 | (8) |
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Optimal Manifold Representation of Data: An Information Theoretic Approach |
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161 | (8) |
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Ranking on Data Manifolds |
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169 | (8) |
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Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering |
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177 | (8) |
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Pairwise Clustering and Graphical Models |
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185 | (8) |
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Tree-structured Approximations by Expectation Propagation |
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193 | (8) |
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The IM Algorithm: A Variational Approach to Information Maximization |
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201 | (8) |
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Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply |
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209 | (8) |
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Large Scale Online Learning |
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217 | (8) |
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Online Classification on a Budget |
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225 | (8) |
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Online Learning via Global Feedback for Phrase Recognition |
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233 | (8) |
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Sparse Representation and Its Applications in Blind Source Separation |
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241 | (8) |
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Perspectives on Sparse Bayesian Learning |
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249 | (8) |
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Semi-Supervised Learning with Trees |
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257 | (8) |
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Efficient Exact k-NN and Nonparametric Classification in High Dimensions |
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265 | (8) |
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Nonstationary Covariance Functions for Gaussian Process Regression |
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273 | (8) |
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Learning the k in k-means |
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281 | (8) |
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Finding the M Most Probable Configurations in Arbitrary Graphical Models |
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289 | (8) |
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Non-linear CCA and PCA by Alignment of Local Models |
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297 | (8) |
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Learning Spectral Clustering |
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305 | (8) |
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AUC Optimization vs. Error Rate Minimization |
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313 | (8) |
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Learning with Local and Global Consistency |
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321 | (8) |
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Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data |
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329 | (8) |
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Warped Gaussian Processes |
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337 | (8) |
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Can We Learn to Beat the Best Stock |
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345 | (8) |
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Approximate Expectation Maximization |
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353 | (8) |
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Linear Response for Approximate Inference |
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361 | (8) |
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Semidefinite Relaxations for Approximate Inference on Graphs with Cycles |
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369 | (8) |
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Approximability of Probability Distributions |
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377 | (8) |
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Denoising and Untangling Graphs Using Degree Priors |
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385 | (8) |
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On the Concentration of Expectation and Approximate Inference in Layered Networks |
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393 | (8) |
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Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models |
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401 | (8) |
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Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis |
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409 | (8) |
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Wormholes Improve Contrastive Divergence |
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417 | (8) |
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425 | (8) |
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Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data |
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433 | (8) |
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441 | (8) |
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Learning to Find Pre-Images |
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449 | (8) |
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Semi-Definite Programming by Perceptron Learning |
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457 | (8) |
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Computing Gaussian Mixture Models with EM Using Equivalence Constraints |
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465 | (8) |
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Feature Selection in Clustering Problems |
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473 | (8) |
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An Iterative Improvement Procedure for Hierarchical Clustering |
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481 | (8) |
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Identifying Structure across Pre-partitioned Data |
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489 | (8) |
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Log-Linear Models for Label Ranking |
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497 | (8) |
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505 | (8) |
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No Unbiased Estimator of the Variance of K-Fold Cross-Validation |
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513 | (8) |
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Bias-Corrected Bootstrap and Model Uncertainty |
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521 | (8) |
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Probability Estimates for Multi-Class Classification by Pairwise Coupling |
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529 | (8) |
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Necessary Intransitive Likelihood-Ratio Classifiers |
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537 | (8) |
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Classification with Hybrid Generative/Discriminative Models |
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545 | (8) |
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A Model for Learning the Semantics of Pictures |
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553 | (8) |
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Algorithms for Interdependent Security Games |
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561 | (10) |
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Fast Embedding of Sparse Similarity Graphs |
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571 | (8) |
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GPPS: A Gaussian Process Positioning System for Cellular Networks |
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579 | (8) |
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An Autonomous Robotic System for Mapping Abandoned Mines |
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587 | (8) |
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Semi-supervised Protein Classification Using Cluster Kernels |
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595 | (8) |
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Statistical Debugging of Sampled Programs |
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603 | (8) |
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Markov Models for Automated ECG Interval Analysis |
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611 | (8) |
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Parameterized Novelty Detectors for Environmental Sensor Monitoring |
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619 | (8) |
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Modeling User Rating Profiles For Collaborative Filtering |
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627 | (8) |
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Application of SVMs for Colour Classification and Collision Detection with AIBO Robots |
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635 | (8) |
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Kernels for Structured Natural Language Data |
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643 | (8) |
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A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters |
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651 | (8) |
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Link Prediction in Relational Data |
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659 | (8) |
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Unsupervised Color Decomposition Of Histologically Stained Tissue Samples |
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667 | (8) |
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ICA-based Clustering of Genes from Microarray Expression Data |
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675 | (8) |
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Gene Expression Clustering with Functional Mixture Models |
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683 | (10) |
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Reconstructing MEG Sources with Unknown Correlations |
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693 | (8) |
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Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales |
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701 | (8) |
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Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects |
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709 | (8) |
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Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression |
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717 | (8) |
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Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface |
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725 | (8) |
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Increase Information Transfer Rates in BCI by CSP Extension to Multi-class |
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733 | (8) |
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Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron |
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741 | (10) |
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Part IV Control and Reinforcement Learning |
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Gaussian Processes in Reinforcement Learning |
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751 | (8) |
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Applying Metric-Trees to Belief-Point POMDPs |
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759 | (8) |
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ARA*: Anytime A* with Provable Bounds on Sub-Optimality |
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767 | (8) |
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Approximate Planning in POMDPs with Macro-Actions |
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775 | (8) |
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Envelope-based Planning in Relational MDPs |
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783 | (8) |
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An MDP-Based Approach to Online Mechanism Design |
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791 | (8) |
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Autonomous Helicopter Flight via Reinforcement Learning |
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799 | (8) |
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All learning is Local: Multi-agent Learning in Global Reward Games |
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807 | (8) |
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How to Combine Expert (and Novice) Advice when Actions Impact the Environment? |
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815 | (8) |
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Bounded Finite State Controllers |
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823 | (8) |
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Policy Search by Dynamic Programming |
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831 | (8) |
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Robustness in Markov Decision Problems with Uncertain Transition Matrices |
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839 | (8) |
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Approximate Policy Iteration with a Policy Language Bias |
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847 | (8) |
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A Nonlinear Predictive State Representation |
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855 | (8) |
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Learning Near-Pareto-Optimal Conventions in Polynomial Time |
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863 | (8) |
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Extending Q-Learning to General Adaptive Multi-Agent Systems |
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871 | (8) |
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Auction Mechanism Design for Multi-Robot Coordination |
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879 | (8) |
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Distributed Optimization in Adaptive Networks |
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887 | (8) |
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Linear Program Approximations for Factored Continuous-State Markov Decision Processes |
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895 | (10) |
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Part V Cognitive Science and Artificial Intelligence |
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Insights from Machine Learning Applied to Human Visual Classification |
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905 | (8) |
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Sensory Modality Segregation |
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913 | (8) |
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Reasoning about Time and Knowledge in Neural Symbolic Learning Systems |
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921 | (8) |
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Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System |
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929 | (8) |
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An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science |
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937 | (8) |
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Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors |
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945 | (8) |
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From Algorithmic to Subjective Randomness |
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953 | (8) |
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Unsupervised Context Sensitive Language Acquisition from a Large Corpus |
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961 | (8) |
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A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments |
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969 | (8) |
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Model Uncertainty in Classical Conditioning |
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977 | (10) |
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Part VI Emerging Technologies |
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A Low-Power Analog VLSI Visual Collision Detector |
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987 | (8) |
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A Recurrent Model of Orientation Maps with Simple and Complex Cells |
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995 | (8) |
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A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems |
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1003 | (8) |
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Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons |
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1011 | (8) |
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Training a Quantum Neural Network |
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1019 | (8) |
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Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses |
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1027 | (8) |
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A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors |
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1035 | (8) |
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Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control |
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1043 | (8) |
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A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell |
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1051 | (10) |
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Invited Talk: Message passing in random satisfiability problems |
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1061 | (8) |
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Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds |
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1069 | (8) |
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An Infinity-sample Theory for Multi-category Large Margin Classification |
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1077 | (8) |
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Error Bounds for Transductive Learning via Compression and Clustering |
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1085 | (8) |
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Online Learning of Non-stationary Sequences |
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1093 | (8) |
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On the Dynamics of Boosting |
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1101 | (8) |
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1109 | (8) |
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Near-Minimax Optimal Classification with Dyadic Classification Trees |
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1117 | (8) |
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PAC-Bayesian Generic Chaining |
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1125 | (8) |
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Self-calibrating Probability Forecasting |
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1133 | (8) |
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When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? |
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1141 | (8) |
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Learning Bounds for a Generalized Family of Bayesian Posterior Distributions |
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1149 | (8) |
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Variational Linear Response |
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1157 | (8) |
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Geometric Clustering Using the Information Bottleneck Method |
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1165 | (8) |
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Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates |
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1173 | (8) |
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Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA |
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1181 | (8) |
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Approximate Analytical Bootstrap Averages for Support Vector Classifiers |
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1189 | (8) |
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Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks |
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1197 | (8) |
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Ambiguous Model Learning Made Unambiguous with 1/f Priors |
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1205 | (8) |
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Information Bottleneck for Gaussian Variables |
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1213 | (8) |
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Measure Based Regularization |
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1221 | (8) |
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Online Passive-Aggressive Algorithms |
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1229 | (8) |
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Margin Maximizing Loss Functions |
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1237 | (10) |
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The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity |
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1247 | (8) |
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Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons |
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1255 | (8) |
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The Diffusion-Limited Biochemical Signal-Relay Channel |
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1263 | (8) |
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Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory |
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1271 | (8) |
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Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans |
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1279 | (8) |
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A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning |
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1287 | (8) |
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Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? |
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1295 | (8) |
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Plasticity Kernels and Temporal Statistics |
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1303 | (8) |
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Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model |
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1311 | (8) |
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Design of Experiments via Information Theory |
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1319 | (8) |
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Probabilistic Inference in Human Sensorimotor Processing |
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1327 | (8) |
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Estimating Internal Variables and Parameters of a Learning Agent by a Particle Filter |
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1335 | (8) |
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Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics |
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1343 | (8) |
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A Probabilistic Model of Auditory Space Representation in the Barn Owl |
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1351 | (8) |
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Decoding VI Neuronal Activity using Particle Filtering with Volterra Kernels |
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1359 | (8) |
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Prediction on Spike Data Using Kernel Algorithms |
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1367 | (10) |
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Part IX Speech and Signal Processing |
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Phonetic Speaker Recognition with Support Vector Machines |
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1377 | (8) |
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A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications |
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1385 | (8) |
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Probabilistic Inference of Speech Signals from Phaseless Spectrograms |
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1393 | (8) |
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Eigenvoice Speaker Adaptation via Composite Kernel PCA |
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1401 | (8) |
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Predicting Speech Intelligibility from a Population of Neurons |
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1409 | (8) |
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One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals |
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1417 | (8) |
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A Classification-based Cocktail-party Processor |
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1425 | (10) |
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Local Phase Coherence and the Perception of Blur |
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1435 | (8) |
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Nonlinear Processing in LGN Neurons |
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1443 | (8) |
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A Functional Architecture for Motion Pattern Processing in MSTd |
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1451 | (8) |
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Human and Ideal Observers for Detecting Image Curves |
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1459 | (8) |
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Eye Movements for Reward Maximization |
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1467 | (8) |
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Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina |
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1475 | (8) |
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Bounded Invariance and the Formation of Place Fields |
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1483 | (8) |
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Discriminating Deformable Shape Classes |
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1491 | (8) |
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Graphical Model For Recognizing Scenes and Objects |
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1499 | (8) |
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Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence |
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1507 | (8) |
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Mutual Boosting for Contextual Inference |
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1515 | (8) |
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Learning a Rare Event Detection Cascade by Direct Feature Selection |
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1523 | (8) |
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Discriminative Fields for Modeling Spatial Dependencies in Natural Images |
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1531 | (8) |
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Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation |
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1539 | (8) |
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Automatic Annotation of Everyday Movements |
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1547 | (8) |
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Learning Non-Rigid 3D Shape from 2D Motion |
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1555 | (8) |
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Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Face Detection and Expression Classification |
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1563 | (8) |
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Salient Boundary Detection using Ratio Contour |
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1571 | (8) |
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A Computational Geometric Approach to Shape Analysis in Images |
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1579 | (8) |
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A Sampled Texture Prior for Image Super-Resolution |
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1587 | (8) |
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Bayesian Color Constancy with Non-Gaussian Models |
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1595 | (8) |
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An Improved Scheme for Detection and Labelling in Johansson Displays |
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1603 | (8) |
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| Index of Authors |
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1611 | (4) |
| Keyword Index |
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1615 | |
Other versions by this Author