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Inductive logic programming

Author: Stephen Muggleton
Publisher: London : Academic, ©1992.
Series: A.P.I.C. studies in data processing, no. 38.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Whilst inheriting various positive characteristics of the parent subjects of logic programming and machine learning, it is hoped that inductive logic programming will overcome many of the limitations  Read more...

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Additional Physical Format: Online version:
Inductive logic programming.
London : Academic, ©1992
(OCoLC)636134781
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.
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<http:\/\/experiment.worldcat.org\/entity\/work\/data\/9937079915#Topic\/inductie_logica<\/a>> # Inductie (logica)<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Inductie (logica)<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
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<http:\/\/experiment.worldcat.org\/entity\/work\/data\/9937079915#Topic\/logische_programmierung<\/a>> # Logische Programmierung<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Logische Programmierung<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
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