Knowledge-Based Artificial Neural Networks (1994)

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by Geoffrey G. Towell , Jude W. Shavlik
Citations:145 - 13 self

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Transferring Advice into a Connectionist Reinforcement-Learning Agent – n.n.
69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
19 An Anytime Approach To Connectionist Theory Refinement: Refining The Topologies Of Knowledge-Based Neural Networks – David William Opitz - 1995
7 Integrating Abduction and Induction in Machine Learning – Raymond J. Mooney - 1997
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
3 Stuffing Mind into Computer: Knowledge and Learning for Intelligent Systems – Kevin J. Cherkauer - 1995
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
86 Unifying instance–based and rule–based induction – Pedro Domingos, J. Mooney - 1996
24 Transferring Previously Learned Back-Propagation Neural Networks To New Learning Tasks – L. Y. Pratt - 1993
2 Using the Discriminability Based Transfer Algorithm to Selectively Bias Neural Network Learning Using the Results of Learning on Related Tasks – Lorien Y. Pratt, Marie Desjardins, Diana Gordon
13 Non-literal Transfer Among Neural Network Learners – L. Y. Pratt - 1993
19 Using Symbolic Learning to Improve Knowledge-Based Neural Networks – Geoffrey Towell, Jude W. Shavlik - 1992
198 The Extraction of Refined Rules from Knowledge-Based Neural Networks – Geoffrey G. Towell, Jude W. Shavlik - 1993
Adaptive Agents for Information Retrieval and Data-Driven Knowledge Discovery – Jihoon Yang - 1999
44 An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning – Philip Kin-Wah Chan - 1996
99 Symbolic and neural learning algorithms: an experimental comparison – Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell - 1991
29 Connectionist theory refinement: Genetically searching the space of network topologies – David W. Opitz, Jude W. Shavlik - 1997
3 A Comparison of Pruning Methods for Relational Concept Learning – Johannes Fürnkranz - 1994