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Bayesian Networks

81 directly classified papers

Papers per year

Papers

Learning Bayesian networks with ancestral constraints NIPS 2016
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Testing Unfaithful Gaussian Graphical Models NIPS 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Solving Decision Problems with Limited Information NIPS 2011
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Bayesian Action-Graph Games NIPS 2010
Copula Bayesian Networks NIPS 2010
Non-stationary continuous dynamic Bayesian networks NIPS 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008