Advances in neural information processing systems 19 : proceedings of the 2006 conference / edited by Bernhard Schölkopf, John Platt and Thomas Hofmann.

Format:

Book

Conference/Event

Contributor:

Schölkopf, Bernhard.

Platt, John C.

Hofmann, Thomas.

Conference Name:

NIPS (Conference) (20th, 2006 Vancouver, B.C.)

Series:

Advances in neural information processing systems, ; 19.

Advances in neural information processing systems, 1049-5258

Language:

English

Subjects (All):

Neural networks (Computer science)--Congresses.

Neural networks (Computer science).

Neural computers--Congresses.

Neural computers.

Physical Description:

1 online resource (1672 p.)

Place of Publication:

Cambridge, Mass. : MIT Press, 2007.

Language Note:

English

Summary:

The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.

Contents:

An Application of Reinforcement Learning to Aerobatic Helicopter Flight; Tighter PAC-Bayes Bounds; Online Classification for Complex Problems Using Simultaneous Projections; Learning on Graph with Laplacian Regularization; Multi-Task Feature Learning; Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning; Efficient Methods for Privacy Preserving Face Detection; Active learning for misspecified generalized linear models; Subordinate class recognition using relational object models

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models; A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems; Sample complexity of policy search with known dynamics; AdaBoost is Consistent; A selective attention multi-chip system with dynamic synapses and spiking neurons; Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks; Convergence of Laplacian Eigenmaps; Analysis of Representations for Domain Adaptation; An Approach to Bounded Rationality; Greedy Layer-Wise Training of Deep Networks

Dirichlet-Enhanced Spam Filtering based on Biased Samples; Detecting Humans via Their Pose; Similarity by Composition; Denoising and Dimension Reduction in Feature Space; Learning to Rank with Nonsmooth Cost Functions; Conditional mean field; Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation; Branch and Bound for Semi-Supervised Support Vector Machines; Automated Hierarchy Discovery for Planning in Partially Observable Environments; Max-margin classification of incomplete data; Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model

Implicit Online Learning with Kernels; Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons; Bayesian Ensemble Learning; Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions; Map-Reduce for Machine Learning on Multicore; Relational Learning with Gaussian Processes; Recursive Attribute Factoring; On Transductive Regression; Balanced Graph Matching; Learning from Multiple Sources; Kernels on Structured Objects Through Nested Histograms; Differential Entropic Clustering of Multivariate Gaussians

Support Vector Machines on a Budget; A Theory of Retinal Population Coding; Learning to Traverse Image Manifolds; Using Combinatorial Optimization within Max-Product Belief Propagation; Optimal Single-Class Classification Strategies; A Small World Threshold for Economic Network Formation; PG-means: learning the number of clusters in data; Clustering Under Prior Knowledge with Application to Image Segmentation; Multi-dynamic Bayesian Networks; Image Retrieval and Classification Using Local Distance Functions; Multiple Instance Learning for Computer Aided Diagnosis

Distributed Inference in Dynamical Systems

Notes:

Description based upon print version of record.

Includes bibliographical references and indexes.

OCLC-licensed vendor bibliographic record.

ISBN:

0-262-30949-1

1-282-09674-5

0-262-25691-6

OCLC:

648314857

Publisher Number:

9780262256919