Automated Bias Shift in a Constrained Space for Logic Program Synthesis
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[1] Masayuki Numao,et al. Discrimination-Based Constructive Induction of Logic Programs , 1992, AAAI.
[2] Stephen Muggleton,et al. Machine Invention of First Order Predicates by Inverting Resolution , 1988, ML.
[3] Rüdiger Wirth,et al. Constraints on Predicate Invention , 1991, ML.
[4] R. Mike Cameron-Jones,et al. FOIL: A Midterm Report , 1993, ECML.
[5] S. Muggleton,et al. Modelling the structure and function of enzymes by machine learning. , 1992, Faraday discussions.
[6] Richard A. Lewis,et al. Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[7] Masayuki Numao,et al. Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals , 1991, ML.
[8] Céline Rouveirol,et al. Extensions of Inversion of Resolution Applied to Theory Completion , 1992 .
[9] Michael J. Pazzani,et al. Relational Clichés: Constraining Induction During Relational Learning , 1991, ML.
[10] Stan Matwin,et al. Constructive Inductive Logic Programming , 1993, IJCAI.
[11] Stephen Muggleton,et al. Efficient Induction of Logic Programs , 1990, ALT.