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Algorithmic Learning Theory : 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings - Taschenbuch

1996, ISBN: 3540618635

[EAN: 9783540618638], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; LERNEN LERNTHEORIE, LERNFORSCHUNG; ALGORITHMICALGORITHMISCHESLE… Mehr…

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Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings Setsuo Arikawa Editor - neues Buch

ISBN: 9783540618638

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996. The 16 revised full … Mehr…

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ISBN: 9783540618638

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996. The 16 revised full p… Mehr…

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Setsuo Arikawa, Arun K. Sharma:
Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 1160) - Taschenbuch

1996, ISBN: 9783540618638

Springer, 1996. *Price HAS BEEN REDUCED by 10% until Monday, Feb. 13 (sale item)* 337 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this ite… Mehr…

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Algorithmic Learning Theory - Taschenbuch

ISBN: 9783540618638

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Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings Setsuo Arikawa Editor
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9783540618638


This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996.The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.

Detailangaben zum Buch - Algorithmic Learning Theory: 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings Setsuo Arikawa Editor


EAN (ISBN-13): 9783540618638
ISBN (ISBN-10): 3540618635
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1996
Herausgeber: Springer Berlin Heidelberg Core >1 >T
364 Seiten
Gewicht: 0,550 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-02-16T01:34:04+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-27T16:38:13+01:00 (Berlin)
ISBN/EAN: 9783540618638

ISBN - alternative Schreibweisen:
3-540-61863-5, 978-3-540-61863-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: sharma, learning international, shinohara, arikawa
Titel des Buches: proceedings international workshop, artificial intelligence, australia, alt, sydney, algorithmic learning theory, 7th international, lecture notes computer science

Daten vom Verlag:

Autor/in: Setsuo Arikawa; Arun K. Sharma
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Algorithmic Learning Theory - 7th International Workshop, ALT '96, Sydney, Australia, October 23 - 25, 1996. Proceedings
Verlag: Springer; Springer Berlin
337 Seiten
Erscheinungsjahr: 1996-10-09
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVII, 337 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Algorithmic Learning; Algorithmisches Lernen; Computational Learning; Inductive Inference; Induktive Inferenz; Konzeptuelles Lernen; Logic Programming; Maschinelles Lernen; algorithmic learning theory; algorithms; learning; learning theory; machine learning; Artificial Intelligence; Formal Languages and Automata Theory; Theoretische Informatik; EA

Managing complexity in neuroidal circuits.- Learnability of exclusive-or expansion based on monotone DNF formulas.- Improved bounds about on-line learning of smooth functions of a single variable.- Query learning of bounded-width OBDDs.- Learning a representation for optimizable formulas.- Limits of exact algorithms for inference of minimum size finite state machines.- Genetic fitness optimization using rapidly mixing Markov chains.- The kindest cut: Minimum message length segmentation.- Reducing complexity of decision trees with two variable tests.- The complexity of exactly learning algebraic concepts.- Efficient learning of real time two-counter automata.- Cost-sensitive feature reduction applied to a hybrid genetic algorithm.- Effects of Feature Selection with ‘Blurring’ on neurofuzzy systems.- Boosting first-order learning.- Incorporating hypothetical knowledge into the process of inductive synthesis.- Induction of Constraint Logic Programs.- Constructive learning of translations based on dictionaries.- Inductive logic programming beyond logical implication.- Noise elimination in inductive concept learning: A case study in medical diagnosis.- MML estimation of the parameters of the spherical fisher distribution.- Learning by erasing.- On learning and co-learning of minimal programs.- Inductive inference of unbounded unions of pattern languages from positive data.- A class of prolog programs inferable from positive data.- Vacillatory and BC learning on noisy data.- Transformations that preserve learnability.- Probabilistic limit identification up to “small” sets.- Reflecting inductive inference machines and its improvement by therapy.
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