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Inductive Logic Programming 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers - neues Buch
2003, ISBN: 9783540005674
Kartoniert, 368 Seiten, 235mm x 155mm x 20mm, Sprache(n): eng Includes supplementary material: sn.pub/extrasThe Twelfth International Conference on Inductive Logic Programming was held in… Mehr…
2003, ISBN: 3540005676
[EAN: 9783540005674], [SC: 18.86], [PU: Berlin Springer Verlag], LOGIC PROGRAMMING; INDUCTIVE PROGRAMING; ALGORITHMIC LEARNING; MACHINE LEARNING THEORY; DATA MINING; RELATIONAL INFERENCE;… Mehr…
2003
ISBN: 3540005676
[EAN: 9783540005674], [SC: 4.0], [PU: Berlin Springer Verlag], LOGIC PROGRAMMING; INDUCTIVE PROGRAMING; ALGORITHMIC LEARNING; MACHINE LEARNING THEORY; DATA MINING; RELATIONAL INFERENCE; D… Mehr…
2003, ISBN: 3540005676
[EAN: 9783540005674], [PU: Berlin Springer Verlag], LOGIC PROGRAMMING; INDUCTIVE PROGRAMING; ALGORITHMIC LEARNING; MACHINE LEARNING THEORY; DATA MINING; RELATIONAL INFERENCE; DISCOVERY SC… Mehr…
2003, ISBN: 3540005676
[EAN: 9783540005674], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], INTELLIGENZ KÜNSTLICHE KI - AI LOGIKPROGRAMMIERUNG ROBOTER ROBOTIK INDUSTRIEROBOTER ALGORITHMICLEARNING ALGORIT… Mehr…
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Detailangaben zum Buch - Inductive Logic Programming
EAN (ISBN-13): 9783540005674
ISBN (ISBN-10): 3540005676
Taschenbuch
Erscheinungsjahr: 2003
Herausgeber: Springer Berlin
368 Seiten
Gewicht: 0,556 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2007-05-31T10:08:18+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-25T11:31:20+01:00 (Berlin)
ISBN/EAN: 9783540005674
ISBN - alternative Schreibweisen:
3-540-00567-6, 978-3-540-00567-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: claude, sammut
Titel des Buches: ilp, programming, vis vis sydney, inductive logic, australia beyond, australia our, logic computer science, lecture notes artificial intelligence, 2002
Daten vom Verlag:
Autor/in: Stan Matwin; Claude Sammut
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Inductive Logic Programming - 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers
Verlag: Springer; Springer Berlin
358 Seiten
Erscheinungsjahr: 2003-02-12
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 358 p.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Software Engineering; Verstehen; algorithm; algorithmic learning; algorithms; classifier systems; clustering; description logics; discovery science; genetic algorithms; inductive logic programing; learning; logic; logic programming; machine learning; programming; robot; algorithm analysis and problem complexity; Software Engineering; Artificial Intelligence; Computer Science; Programming Techniques; Algorithms; Formal Languages and Automata Theory; Künstliche Intelligenz; Informatik; Computerprogrammierung und Softwareentwicklung; Algorithmen und Datenstrukturen; Theoretische Informatik; EA
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.Includes supplementary material: sn.pub/extras
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