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Probabilistic Modeling

2591 directly classified papers

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Papers

Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Probabilistic Belief Revision with Structural Constraints NIPS 2010
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NIPS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010
Switched Latent Force Models for Movement Segmentation NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Gated Softmax Classification NIPS 2010
Probabilistic Lane Estimation using Basis Curves RSS 2010
Why are DBNs sparse? AISTATS 2010
Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010