← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Copula Bayesian Networks NIPS 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
Structured Determinantal Point Processes NIPS 2010
Probabilistic Belief Revision with Structural Constraints NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Linear readout from a neural population with partial correlation data NIPS 2010
The Multidimensional Wisdom of Crowds NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Gated Softmax Classification NIPS 2010
Improving Human Judgments by Decontaminating Sequential Dependencies NIPS 2010
Worst-case bounds on the quality of max-product fixed-points NIPS 2010