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  • 1
    UID:
    almafu_BV016516379
    Format: X, 349 S. : graph. Darst.
    ISBN: 3-540-00567-6
    Series Statement: Lecture notes in computer science 2583 : Lecture notes in artificial intelligence
    Note: Includes bibliographical references and index
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Logische Programmierung ; Induktive Logik ; Konferenzschrift ; Konferenzschrift
    URL: Cover
    Author information: Matwin, Stan 1949-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1649190174
    Format: Online-Ressource
    ISBN: 9783540364689 , 3540005676
    Series Statement: Lecture Notes in Computer Science 2583
    Content: This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during two rounds of reviewing and revision from 45 submissions. Among the topics addressed are first order decision lists, learning with description logics, bagging in ILP, kernel methods, concept learning, relational learners, description logic programs, Bayesian classifiers, knowledge discovery, data mining, logical sequences, theory learning, stochastic logic programs, machine discovery, and relational pattern discovery
    Note: Includes bibliographical references and index
    Additional Edition: ISBN 9783540005674
    Additional Edition: Buchausg. u.d.T. Inductive logic programming Berlin : Springer, 2003 ISBN 3540005676
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Logische Programmierung ; Induktive Logik ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 3
    UID:
    kobvindex_ZLB13466131
    Format: X, 349 Seiten , graph. Darst. , 24 cm
    ISBN: 3540005676
    Series Statement: Lecture notes in computer science
    Note: Literaturangaben , Text engl.
    Language: English
    Keywords: Logische Programmierung ; Induktive Logik ; Kongress ; Sydney 〈2002〉 ; Kongress ; Konferenzschrift
    Author information: Matwin, Stan
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  • 4
    UID:
    almahu_9947920449102882
    Format: X, 358 p. , online resource.
    ISBN: 9783540364689
    Series Statement: Lecture Notes in Computer Science, 2583
    Content: The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9–11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.
    Note: Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540005674
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9948621559202882
    Format: X, 358 p. , online resource.
    Edition: 1st ed. 2003.
    ISBN: 9783540364689
    Series Statement: Lecture Notes in Artificial Intelligence ; 2583
    Content: The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9-11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.
    Note: Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662165614
    Additional Edition: Printed edition: ISBN 9783540005674
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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