← Keywords

structure learning

341 papers

Explore in graph

Also known as

SL

Co-occurring keywords

graphical model (863) bayesian network (378) causal discovery (459) directed acyclic graph (242) causal inference (1619) probabilistic modeling (851) probabilistic graphical model (226) gaussian graphical model (106) bayesian inference (1904) markov chain monte carlo (724)

Papers

Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Towards Unified Human Parsing and Pose Estimation CVPR 2014
Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014
Improving Markov Network Structure Learning Using Decision Trees JMLR 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
An inclusion optimal algorithm for chain graph structure learning AISTATS 2014
Multi-scale Graphical Models for Spatio-Temporal Processes NIPS 2014
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
Structure Learning of Mixed Graphical Models AISTATS 2013
Learning Chordal Markov Networks by Constraint Satisfaction NIPS 2013
Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013
Large-Scale Video Hashing via Structure Learning ICCV 2013
Learning Graphs to Match ICCV 2013
Combining the Right Features for Complex Event Recognition ICCV 2013
Learning the Structure of Sum-Product Networks ICML 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Learning Markov Networks With Arithmetic Circuits AISTATS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013