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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

The Doubly Correlated Nonparametric Topic Model NIPS 2011
The Kernel Beta Process NIPS 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Query-Aware MCMC NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011
Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Learning unbelievable probabilities NIPS 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Group Anomaly Detection using Flexible Genre Models NIPS 2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011