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Additional Physical Format: | Online version: Inductive logic programming. London : Academic, ©1992 (OCoLC)636134781 |
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Material Type: | Internet resource |
Document Type: | Book, Internet Resource |
All Authors / Contributors: |
Stephen Muggleton |
ISBN: | 0125097158 9780125097154 |
OCLC Number: | 27108041 |
Description: | xiv, 565 pages : illustrations ; 24 cm |
Contents: | Inductive logic programming, S. Muggleton; extensions of inversion of resolution applied to theory completion, Celine Rouveirol; generalization and learnability - a study of constrained atoms, C.D. Page Jr and A.M. Frisch; learning theoretical terms, R.B. Banerji; logic programme synthesis from good examples, C.X. Ling; a critical comparison of various methods based on inverse resolution, C.X. Ling and M.A. Narayan; non-monotonic learning, M. Bain and S. Muggleton; an overview of the interactive concept-learner and theory revisor, Clint; a framework for inductive logic programming, P.A. Flach; the rule-based systems project - using confirmation theory and non-monotonic logics for incremental learning, D. Gabbay, et al; relating relational learning algorithms, D.W. Aha; machine intervention of first-order predicates by inverting resolution, S. Muggleton and W. Buntine; efficient induction of logic programmes, S. Muggleton and C. Feng; constraints for predicate invention, R. Wirth and P. O'Rorke; refinement graphs for FOIL and LINUS, S. Czeroski and N. Lavrac; controlling the complexity of learning in logic through syntactic and task-oriented models, J.U. Kietz and S. Wrobel; efficient learning of logic programme with non-determinate, non-discriminating literals, B. Kijsirikul, et al; an information-based approach to integrating empirical and explanation-based learning, M.J. Pazzani, et al; analogical reasoning for logic programming, B. Tausend and S. Bell; some thoughts on inverse resolution, G. Sablon, et al; experiments in non-monotonic first-order induction, M.Bain; learning qualitative models of dynamic systems, I. Bratko, et al; the application of inductive logic programming to finite element mesh design, B. Dolsak and S. Muggleton; inducing temporal fault diagnostic rules from a qualitative model, C. Feng; in ductive learning of relations from noisy examples, N. Lavrac and S. Dzeroski; learning chess patterns, E. Morales; applying inductive logic programming in reactive environments, D. Hume and C. Sammut. |
Series Title: | A.P.I.C. studies in data processing, no. 38. |
Responsibility: | edited by Stephen Muggleton. |
More information: |
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Related Subjects:(9)
- Logic programming.
- Machine learning.
- Programmation logique.
- Apprentissage automatique.
- Inductie (logica)
- Programmeren (computers)
- Induktive Logik
- Logische Programmierung
- Logic programming
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- Machine learning CS 15(500 items)
by NpNp updated 2018-02-27