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Computational Learning Theory Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings
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Computational Learning Theory Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings - neues Buch

1997, ISBN: 9783540626855

Kartoniert, 348 Seiten, 235mm x 155mm x 19mm, Sprache(n): eng This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97… Mehr…

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Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings: 1208 (Lecture Notes in Computer Science, 1208)
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Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings: 1208 (Lecture Notes in Computer Science, 1208) - Taschenbuch

1997, ISBN: 9783540626855

Editor: Ben-David, Shai, Springer, Paperback, Auflage: 1997, 686 Seiten, Publiziert: 1997-03-03T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 9783540626855, 0.49 kg, Special Features, B… Mehr…

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Shai Ben-David:
Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings - Taschenbuch

ISBN: 9783540626855

Paperback / softback. New. This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97, held in Jerusalem, Israel, i… Mehr…

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Computational Learning Theory: Third European Conference, EuroCOLT *97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings (Lecture Notes in Computer Science, 1208) - Taschenbuch

1997, ISBN: 3540626859

[EAN: 9783540626855], Gebraucht, wie neu, [PU: Springer], Like New, Books

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Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings (Lecture Notes in Computer Science, 1208)
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Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings (Lecture Notes in Computer Science, 1208) - Taschenbuch

1997, ISBN: 3540626859

[EAN: 9783540626855], Neubuch, [PU: Springer], Books

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Details zum Buch
Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings: 1208 (Lecture Notes in Computer Science, 1208)
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Titel:
ISBN-Nummer:

3540626859


This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97, held in Jerusalem, Israel, in March 1997.The book presents 25 revised full papers carefully selected from a total of 36 high-quality submissions. The volume spans the whole spectrum of computational learning theory, with a certain emphasis on mathematical models of machine learning. Among the topics addressed are machine learning, neural nets, statistics, inductive inference, computational complexity, information theory, and theoretical physics.

Detailangaben zum Buch - Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings: 1208 (Lecture Notes in Computer Science, 1208)


EAN (ISBN-13): 9783540626855
ISBN (ISBN-10): 3540626859
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1997
Herausgeber: Springer
348 Seiten
Gewicht: 0,526 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-10-17T00:15:46+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-03-27T23:01:27+01:00 (Vienna)
ISBN/EAN: 3540626859

ISBN - alternative Schreibweisen:
3-540-62685-9, 978-3-540-62685-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: david ben
Titel des Buches: nucleic acids molecular biology, jerusalem, european conference artificial intelligence, israel jahrbuch 1997, proceedings artificial intelligence conference, lecture notes artificial intelligence, 1208, theory, ben, third european conference

Daten vom Verlag:

Autor/in: Shai Ben-David
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Computational Learning Theory - Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings
Verlag: Springer; Springer Berlin
338 Seiten
Erscheinungsjahr: 1997-03-03
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
CCCXLVIII, 338 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Algorithmische Komplexität; Algorithmisches Lernen; Induktive Inferenz; Neuronale Netze; Sprachenlernen; algorithm; algorithms; classification; complexity; computational complexity; inductive inference; information theory; learning theory; machine learning; neural networks; Artificial Intelligence; Formal Languages and Automata Theory; Theory of Computation; Theoretische Informatik; EA

Sample compression, learnability, and the Vapnik-Chervonenkis dimension.- Learning boxes in high dimension.- Learning monotone term decision lists.- Learning matrix functions over rings.- Learning from incomplete boundary queries using split graphs and hypergraphs.- Generalization of the PAC-model for learning with partial information.- Monotonic and dual-monotonic probabilistic language learning of indexed families with high probability.- Closedness properties in team learning of recursive functions.- Structural measures for games and process control in the branch learning model.- Learning under persistent drift.- Randomized hypotheses and minimum disagreement hypotheses for learning with noise.- Learning when to trust which experts.- On learning branching programs and small depth circuits.- Learning nearly monotone k-term DNF.- Optimal attribute-efficient learning of disjunction, parity, and threshold functions.- learning pattern languages using queries.- On fast and simple algorithms for finding Maximal subarrays and applications in learning theory.- A minimax lower bound for empirical quantizer design.- Vapnik-Chervonenkis dimension of recurrent neural networks.- Linear Algebraic proofs of VC-Dimension based inequalities.- A result relating convex n-widths to covering numbers with some applications to neural networks.- Confidence estimates of classification accuracy on new examples.- Learning formulae from elementary facts.- Control structures in hypothesis spaces: The influence on learning.- Ordinal mind change complexity of language identification.- Robust learning with infinite additional information.
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