conftrace_

bayesian network

378 papers

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Also known as

BNS BN

Co-occurring keywords

structure learning (341) graphical model (864) probabilistic graphical model (226) causal inference (1630) probabilistic modeling (852) directed acyclic graph (245) probabilistic inference (312) causal discovery (460) conditional independence (113) bayesian network structure learning (18)

Papers

The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Bayesian Co-Training NIPS 2007
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Learning Structural Equation Models for fMRI NIPS 2006
Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference RSS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
Bayesian Network Learning with Parameter Constraints JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Inner Product Spaces for Bayesian Networks JMLR 2005
Variational Message Passing JMLR 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005
Learning Module Networks JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
On Inclusion-Driven Learning of Bayesian Networks JMLR 2003
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003