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Bayesian Inference

4821 directly classified papers

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Papers

Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
A Bayesian Approach to Concept Drift NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
A rational decision making framework for inhibitory control NIPS 2010
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
Variational Relevance Vector Machine for Tabular Data ACML 2010
Preliminary Results in Decentralized Estimation for Single-Beacon Acoustic Underwater Navigation RSS 2010
Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010
Sparse Spectrum Gaussian Process Regression JMLR 2010
Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data RSS 2010
Hierarchical Gaussian Process Regression ACML 2010
Mass Fatality Incident Identification based on nuclear DNA evidence AISTATS 2010
Learning Instance-Specific Predictive Models JMLR 2010
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010
Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010
Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010
Mean Field Variational Approximation for Continuous-Time Bayesian Networks JMLR 2010