Learning with Knowledge from Multiple Experts (2003)

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

Active Bibliography

624 Learning with Knowledge from Multiple Experts – Matthew Richardson, Pedro Domingos, Pedrod~cs. Washington Edu
569 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
19 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
69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
14 A System for Building Intelligent Agents that Learn to Retrieve and Extract Information – Tina Eliassi-Rad, Jude Shavlik - 2001
12 Refining the Structure of a Stochastic Context-Free Grammar – Joseph Bockhorst, Mark Craven - 2001
37 Building Large Knowledge Bases by Mass Collaboration – Matthew Richardson , Pedro Domingos - 2003
29 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
© 2005 INFORMS Graphical Models for Groups: Belief Aggregation and Risk Sharing – David M. Pennock, Michael P. Wellman
3 Stuffing Mind into Computer: Knowledge and Learning for Intelligent Systems – Kevin J. Cherkauer - 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
22 The Connectionist Inductive Learning and Logic Programming System – Artur S. Avila Garcez, et al. - 1999
100 Creating Advice-Taking Reinforcement Learners – Richard Maclin, Jude W. Shavlik, Pack Kaelbling - 1996
7 Constructive theory refinement in knowledge based neural networks – Rajesh Parekh, Vasant Honavar - 1998
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 Data-Driven Theory Refinement Using KBDistAl – Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs - 1999