University Sétif 1 FERHAT ABBAS Faculty of Sciences
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Auteur R.S. Michalski |
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Titre : Machine Learning : An Artificial Intelligence Approach Type de document : texte imprimé Auteurs : R.S. Michalski Editeur : Springer-Verlag Berlin Année de publication : 1983 Collection : Symbolic Computation Importance : 1 vol. (572 p.) Format : 24 cm ISBN/ISSN/EAN : 978-3-662-12407-9 Langues : Français (fre) Catégories : Informatique Mots-clés : intelligence artificielle Index. décimale : 006.3 Intelligence artificielle Résumé : Ce livre contient des aperçus tutoriels et des documents de recherche représentatifs des tendances contemporaines dans le domaine de l'apprentissage automatique vu d'un point de vue de l'intelligence artificielle. En tant que premier texte disponible sur ce sujet, il est destiné à répondre à plusieurs besoins. Note de contenu :
Sommaire
One- General Issues in Machine Learning.
1- An Overview of Machine Learning.-
2- Why Should Machines Learn?.
Two- Learning from Examples.-
3- A Comparative Review of Selected Methods for Learning from Examples.
4- A Theory and Methodology of Inductive Learning.
Three- Learning in Problem-Solving and Planning.
5- Learning by Analogy: Formulating and Generalizing Plans from Past Experience.
6- Learning by Experimentation: Acquiring and Refining Problem-Solving Heuristics.
7- Acquisition of Proof Skills in Geometry.
8- Using Proofs and Refutations to Learn from Experience.
Four- Learning from Observation and Discovery.
9- The Role of Heuristics in Learning by Discovery: Three Case Studies.
10- Rediscovering Chemistry With the BACON System.
11- Learning From Observation: Conceptual Clustering.
Five- Learning from Instruction.
12- Machine Transformation of Advice into a Heuristic Search Procedure.
13- Learning by Being Told: Acquiring Knowledge for Information Management.
14- The Instructible Production System: A Retrospective Analysis.
Six- Applied Learning Systems.
15- Learning Efficient Classification Procedures and their Application to Chess End Games.
16- Inferring Student Models for Intelligent Computer-Aided Instruction.
- Comprehensive Bibliography of Machine Learning.
- Glossary of Selected Terms In Machine Learning.
- About the Authors.
- Author Index.
Côte titre : Fs/19792 Machine Learning : An Artificial Intelligence Approach [texte imprimé] / R.S. Michalski . - [S.l.] : Springer-Verlag Berlin, 1983 . - 1 vol. (572 p.) ; 24 cm. - (Symbolic Computation) .
ISBN : 978-3-662-12407-9
Langues : Français (fre)
Catégories : Informatique Mots-clés : intelligence artificielle Index. décimale : 006.3 Intelligence artificielle Résumé : Ce livre contient des aperçus tutoriels et des documents de recherche représentatifs des tendances contemporaines dans le domaine de l'apprentissage automatique vu d'un point de vue de l'intelligence artificielle. En tant que premier texte disponible sur ce sujet, il est destiné à répondre à plusieurs besoins. Note de contenu :
Sommaire
One- General Issues in Machine Learning.
1- An Overview of Machine Learning.-
2- Why Should Machines Learn?.
Two- Learning from Examples.-
3- A Comparative Review of Selected Methods for Learning from Examples.
4- A Theory and Methodology of Inductive Learning.
Three- Learning in Problem-Solving and Planning.
5- Learning by Analogy: Formulating and Generalizing Plans from Past Experience.
6- Learning by Experimentation: Acquiring and Refining Problem-Solving Heuristics.
7- Acquisition of Proof Skills in Geometry.
8- Using Proofs and Refutations to Learn from Experience.
Four- Learning from Observation and Discovery.
9- The Role of Heuristics in Learning by Discovery: Three Case Studies.
10- Rediscovering Chemistry With the BACON System.
11- Learning From Observation: Conceptual Clustering.
Five- Learning from Instruction.
12- Machine Transformation of Advice into a Heuristic Search Procedure.
13- Learning by Being Told: Acquiring Knowledge for Information Management.
14- The Instructible Production System: A Retrospective Analysis.
Six- Applied Learning Systems.
15- Learning Efficient Classification Procedures and their Application to Chess End Games.
16- Inferring Student Models for Intelligent Computer-Aided Instruction.
- Comprehensive Bibliography of Machine Learning.
- Glossary of Selected Terms In Machine Learning.
- About the Authors.
- Author Index.
Côte titre : Fs/19792 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité Fs/19792 Fs/19792 Livre Bibliothéque des sciences Français Disponible
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