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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011
Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution RSS 2011
Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011
Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
The Multidimensional Wisdom of Crowds 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
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Copula Bayesian Networks NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Switched Latent Force Models for Movement Segmentation NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Gated Softmax Classification NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010