Craven, Mark

17 publications

AAAI 2022 Feature Importance Explanations for Temporal Black-Box Models Akshay Sood, Mark Craven

AAAI 2019 Understanding Learned Models by Identifying Important Features at the Right Resolution Kyubin Lee, Akshay Sood, Mark Craven

IJCAI 2011 A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht

ICML 2009 Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors David Andrzejewski, Xiaojin Zhu, Mark Craven

UAI 2008 Learning Hidden Markov Models for Regression Using Path Aggregation Keith Noto, Mark Craven

NeurIPS 2007 Multiple-Instance Active Learning Burr Settles, Mark Craven, Soumya Ray

ICML 2005 Supervised Versus Multiple Instance Learning: An Empirical Comparison Soumya Ray, Mark Craven

NeurIPS 2004 Markov Networks for Detecting Overalpping Elements in Sequence Data Mark Craven, Joseph Bockhorst

IJCAI 2003 Hierarchical Hidden Markov Models for Information Extraction Marios Skounakis, Mark Craven, Soumya Ray

ICML 2002 Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data Joseph Bockhorst, Mark Craven

IJCAI 2001 Refining the Structure of a Stochastic Context-Free Grammar Joseph Bockhorst, Mark Craven

MLJ 2001 Relational Learning with Statistical Predicate Invention: Better Models for Hypertext Mark Craven, Seán Slattery

IJCAI 2001 Representing Sentence Structure in Hidden Markov Models for Information Extraction Soumya Ray, Mark Craven

ECML-PKDD 1998 First-Order Learning for Web Mining Mark Craven, Seán Slattery, Kamal Nigam

AAAI 1998 Learning to Extract Symbolic Knowledge from the World Wide Web Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

NeurIPS 1995 Extracting Tree-Structured Representations of Trained Networks Mark Craven, Jude W. Shavlik

NeurIPS 1995 Learning Sparse Perceptrons Jeffrey C. Jackson, Mark Craven