Co-occurring keywords · papers mentioning both
Papers
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models
Interspeech 2016
Identifying the irreducible disjoint factors of a multivariate probability distribution
PGM 2016
Statistical Matching of Discrete Data by Bayesian Networks
PGM 2016
The Multiple Quantile Graphical Model
NeurIPS 2016
Unsupervised Ensemble Learning with Dependent Classifiers
AISTATS 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure
NeurIPS 2016
Segregated Graphs and Marginals of Chain Graph Models
NeurIPS 2015
A Junction Tree Framework for Undirected Graphical Model Selection
JMLR 2014
Augur: Data-Parallel Probabilistic Modeling
NeurIPS 2014
Testing Unfaithful Gaussian Graphical Models
NeurIPS 2014
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
JMLR 2013
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion
JMLR 2013
Convex Multi-view Subspace Learning
NeurIPS 2012
On the Necessity of Irrelevant Variables
JMLR 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
NeurIPS 2012
Faithfulness in Chain Graphs: The Gaussian Case
AISTATS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty
NeurIPS 2011
Efficient Algorithms for Conditional Independence Inference
JMLR 2010
Mass Fatality Incident Identification based on nuclear DNA evidence
AISTATS 2010
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity
JMLR 2009
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
JMLR 2009
Markov Properties for Linear Causal Models with Correlated Errors
JMLR 2009
Toward Provably Correct Feature Selection in Arbitrary Domains
NeurIPS 2009
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
NeurIPS 2008
Search for Additive Nonlinear Time Series Causal Models
JMLR 2008