Learning with Knowledge from Multiple Experts (2003)

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by Matthew Richardson Mattr , Pedro Domingos
Venue:In ICML 20

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DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
363 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
18 An Anytime Approach To Connectionist Theory Refinement: Refining The Topologies Of Knowledge-Based Neural Networks – David William Opitz - 1995
MACHINE LEARNING METHODS FOR THE DISCOVERY OF REGULATORY ELEMENTS IN BACTERIA By – Joseph Bockhorst - 2005
65 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
13 A System for Building Intelligent Agents that Learn to Retrieve and Extract Information – Tina Eliassi-Rad, Jude Shavlik - 2001
11 Refining the Structure of a Stochastic Context-Free Grammar – Joseph Bockhorst, Mark Craven - 2001
30 Building Large Knowledge Bases by Mass Collaboration – Matthew Richardson , Pedro Domingos - 2003
27 Connectionist theory refinement: Genetically searching the space of network topologies – David W. Opitz, Jude W. Shavlik - 1997
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
Data-Driven Theory Refinement Algorithms for Bioinformatics – Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs
Appears in the Working Notes of the AAAI/ICML Workshop on Learning for Text Categorization, July 1998. – Intelligent Agents For, Jude Shavlik, Tina Eliassi-rad - 1998
3 Stuffing Mind into Computer: Knowledge and Learning for Intelligent Systems – Kevin J. Cherkauer - 1995
3 Data-Driven Theory Refinement Using KBDistAl – Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs - 1999
8 Constructive Theory Refinement in Knowledge Based Neural Networks – Rajesh Parekh, Vasant Honavar - 1998
Transferring Advice into a Connectionist Reinforcement-Learning Agent – n.n.
6 Extracting Comprehensible Concept Representations from Trained Neural Networks – Mark W. Craven, Jude W. Shavlik - 1995
5 Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming – Richard Maclin, Edward Wild, Jude Shavlik, Lisa Torrey, Trevor Walker
84 Creating Advice-Taking Reinforcement Learners – Richard Maclin, Jude W. Shavlik, Pack Kaelbling - 1996