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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
The rat as particle filter NIPS 2007
Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
Bayesian Quadratic Discriminant Analysis JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007
Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa RSS 2007
Data Association in O(n) for Divide and Conquer SLAM RSS 2007
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Multiple timescales and uncertainty in motor adaptation NIPS 2006
Bayesian Image Super-resolution, Continued NIPS 2006
Bayesian Ensemble Learning NIPS 2006
Combining causal and similarity-based reasoning NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Theory and Dynamics of Perceptual Bistability NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006