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4
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A Unifying View of Knowledge Representation for Inductive Learning
– A.F. Bowers, C. Giraud-Carrier, J.W. Lloyd
- 2000
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1
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Representing, Learning, and Executing Operational Concepts
– Volker Klingspor, Stefan Sklorz
- 1995
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4
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Robot Learning - Three case studies in Robotics and Machine Learning
– M. Kaiser, L. Camarinha-Matos, A. Giordana, V. Klingspor J. del R. Millán, V. Klingspor, J. Del R. Mill An, R. Suárez, F. G. B. De Natale, M. Nuttin, R. Su Arez, Prof Dr. -ing, R. Dillmann
- 1994
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4
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The use of Background Knowledge in Inductive Logic Programming
– Rui Camacho, Rui Camacho
- 1994
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6
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Induction in first order logic from noisy training examples and fixed example set size
– Eric Mccreath
- 1999
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7
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Relating Relational Learning Algorithms
– David Aha
- 1992
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118
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Separate-and-conquer rule learning
– Johannes Fürnkranz
- 1999
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B-Learn II: Combining sensing and action
– Michael Kaiser, Attilio Giordana, Marnix Nuttin, Luis Seabra Lopes, Michael Kaiser (uka, Attilio Giordana (uto, Marnix Nuttin (kul, Luis Seabra Lopes (unl
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5
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Representation Changes for Efficient Learning in Structural Domains
– Jean-daniel Zucker, Jean-gabriel Ganascia
- 1996
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4
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Inducing Integrity Constraints from Knowledge Bases
– Roman Englert
- 1995
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Bag of Words and Word Psitions
– William W. Cohen
- 1995
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9
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Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors
– William W. Cohen
- 1995
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8
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Representing Biases for Inductive Logic Programming
– Birgit Tausend
- 1994
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1
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The di culties of learning logic programs with cut
– Francesco Bergadano, Daniele Gunetti, Umberto Trinchero
- 1993
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8
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The Difficulties of Learning Logic Programs with Cut
– Francesco Bergadano, Daniele Gunetti, Umberto Trinchero
- 1993
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25
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Declarative Bias in ILP
– Claire Nedellec, Céline Rouveirol, Francesco Bergadano, Birgit Tausend, Fakultat Informatik
- 1996
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7
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Learning Structurally Indeterminate Clauses
– Jean-Daniel Zucker , Jean-Gabriel Ganascia
- 1998
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5
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The origins of Inductive Logic Programming: A prehistoric tale
– Claude Sammut
- 1993
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42
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Efficient Pruning Methods For Separate-And-Conquer Rule Learning Systems
– William W. Cohen
- 1993
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