rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to machine learning
  title info:
    title: Leçons d'apprentissage symbolique automatique. English
  name:
    name part: Kodratoff, Yves
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 1988
    issuance: monographic
  language:
    language term: eng
  language:
    language term: fre
  physical description:
    form: remote
    extent: 1 online resource (v, 298 pages) : illustrations
  abstract: A textbook suitable for undergraduate courses in machine learning.
  table of contents: Front Cover; Introduction to Machine Learning; Copyright Page; Table of Contents; Foreword and Acknowledgements; Chapter 1. Why Machine Learning and Artificial Intelligence? The Contribution of Artificial Intelligence to Learning Techniques; 1 HISTORICAL SKETCH; 2 VARIOUS SORTS OF LEARNING; Chapter 2. Theoretical Foundations for Machine Learning; 0 THEORETICAL FOUNDATIONS FOR THEORY-HATERS; 1 CLAUSES; 2 UNIFICATION; 3 RESOLUTION AND INFERENCE ON A SET OF CLAUSES; 4 THE KNUTH-BENDIX COMPLETION ALGORITHM; Chapter 3. Representation of Complex Knowledge by Clauses.
  table of contents: 1 SOME EXAMPLES OF LOGICAL KNOWLEDGE REPRESENTATION2 THE TRANSFORMATION OF A GIVEN SENTENCE INTO A THEOREM; 3 REPRESENTATION OF A HIERARCHY DURING RESOLUTION; 4 REPRESENTATION BY TERNARY QUANTIFIED TREES -- Chapter 4. Representation of Knowledge About Actions and the Addition of New Rules to a Knowledge Base; 1 TRUTH MAINTENANCE; 2 PREDICATES IN ACTION MODE / CHECKING MODE; 3 MAIN RULES AND AUXILIARY RULES; 4 ORGANIZATION OF THE PROGRAM FOR THE REPRESENTATION OF ACTIONS; 5 THE CASE OF A NEW RULE HAVING THE SAME PREMISE AS AN OLD ONE; 6 NEW RULE MORE SPECIFIC THAN AN OLD ONE.
  table of contents: 7 COMBINATION OF RULES8 GENERALIZATION OF RULES; 9 RULES FOR INFERENCE CONTROL; Chapter 5. Learning by Doing; 1 THE PROBLEM; 2 VERSION SPACES [Mitchell 1982] SEEN AS FOCUSSING; 3 APPLICATION TO RULE ACQUISITION; 4 LEARNING BY TRIAL AND ERROR; Chapter 6. A Formal Presentation of Version Spaces; 1 DIFFERENT DEFINITIONS OF GENERALIZATION; 2 VERSION SPACES; Chapter 7. Explanation-Based Learning; 1 INDUCTIVE VERSUS DEDUCTIVE LEARNING; 2 INTUITIVE PRESENTATION OF EBL; 3 GOAL REGRESSION; 4 EXPLANATION-BASED GENERALIZATION; 5 EXPLANATION-BASED LEARNING.
  table of contents: Chapter 8. Learning by Similarity Detection The Empirical Approach1 GENERAL DEFINITIONS; 2 DESCRIPTION OF THE WHOLE EXAMPLE; 3 RECOGNITION; 4 SPARSENESS AND THE SELECTION CRITERIA FOR A GOOD FUNCTION; 5 THE PROCEDURE OF EMPTYING THE INTERSECTIONS -- 6 CREATION OF RECOGNITION FUNCTIONS; 7 RULES OF GENERALIZATION; 8 GENERATION OF RECOGNITION FUNCTIONS; 9 APPLICATION TO SOYBEAN PATHOLOGY; 10 APPLICATION TO AN ALGORITHM FOR CONCEPTUAL CLUSTERING; Chapter 9. Learning by Similarity Detection The 'Rational' Approach; 1 KNOWLEDGE REPRESENTATION.
  table of contents: 2 DESCRIPTION OF A RATIONAL GENERALIZATION ALGORITHM3 USING AXIOMS AND IDEMPOTENCE; 4 A DEFINITION OF GENERALIZATION; 5 USE OF NEGATIVE EXAMPLES; CONCLUSION; Chapter 10. Automatic Construction of Taxonomies Techniques for Clustering; 1 A MEASURE OF THE AMOUNT OF INFORMATION ASSOCIATED WITH EACH DESCRIPTOR; 2 APPLICATION OF DATA ANALYSIS; 3 CONCEPTUAL CLUSTERING; Chapter 11. Debugging and Understanding in Depth The Learning of Micro-Worlds; 1 RECOGNITION OF MICRO-WORLDS; 2 DETECTION OF LIES; Chapter 12. Learning by Analogy; 1 A DEFINITION OF ANALOGY; 2 WINSTON'S USE OF ANALOGY.
  note: Yves Kodratoff, Research Director, French National Scientific Research Council.
  note: Translation of: Leçons d'apprentissage symbolique automatique.
  note: Includes bibliographical references (pages 287-294) and index.
  subject:
    topic: Machine learning
  subject:
    topic: Apprentissage automatique
  subject:
    topic: COMPUTERS
    topic: General
  subject:
    topic: Machine learning
  subject:
    topic: MACHINE LEARNING
  subject:
    topic: TEACHING MACHINES
  subject:
    topic: KNOWLEDGE REPRESENTATION
  subject:
    topic: KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE)
  subject:
    topic: ARTIFICIAL INTELLIGENCE
  subject:
    topic: LEARNING
  classification: Q325.5 .K6213 1988eb
  classification: 006.3/1
  related item:
    title info:
      title: Introduction to machine learning
    title info:
      title: Leçons d'apprentissage symbolique automatique. English
    name:
      name part: Kodratoff, Yves.
    identifier: (DLC) 88046077
    identifier: (OCoLC)20725307
  identifier: 9780080509303
  identifier: 0080509304
  identifier: 155860037X
  identifier: 9781558600379
  identifier: CL0500000686 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 141024
    record change date: 20260326211318.6
    record identifier: in00005757018
    language of cataloging:
      language term: eng