Knowledge Representation

Unsupervised Structure Learning of Stochastic And-Or Grammars NeurIPS 2013 Learning and Model-Checking Networks of I/O Automata ACML 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Two-way Parallel Class Expression Learning ACML 2012 Advice Refinement in Knowledge-Based SVMs NeurIPS 2011 Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 Lifted Inference Seen from the Other Side : The Tractable Features NeurIPS 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Abstraction and Relational learning NeurIPS 2009 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Learning and using relational theories NeurIPS 2007 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Recursive Attribute Factoring NeurIPS 2006 Construction of Conceptual Graph Representation of Texts NAACL 2004