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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 - libro nuevo

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… Más…

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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) - Pasta blanda

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… Más…

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

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… Más…

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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) - Pasta blanda

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) - Pasta blanda

1997, ISBN: 3540626859

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

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Detalles del libro
Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings: 1208 (Lecture Notes in Computer Science, 1208)
Autor:
Título:
ISBN:

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.

Detalles del libro - 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
Tapa dura
Tapa blanda
Año de publicación: 1997
Editorial: Springer
348 Páginas
Peso: 0,526 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-10-17T00:15:46+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-03-27T23:01:27+01:00 (Madrid)
ISBN/EAN: 3540626859

ISBN - escritura alterna:
3-540-62685-9, 978-3-540-62685-5
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: david ben
Título del libro: 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

Datos del la editorial

Autor: Shai Ben-David
Título: 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
Editorial: Springer; Springer Berlin
338 Páginas
Año de publicación: 1997-03-03
Berlin; Heidelberg; DE
Idioma: Inglés
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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