1997, ISBN: 9783540626855
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Computational Learning Theory Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings - nieuw boek
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… Meer...
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… Meer...
Computational Learning Theory: Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17 - 19, 1997, Proceedings - pocketboek
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… Meer...
1997, ISBN: 3540626859
[EAN: 9783540626855], Gebraucht, wie neu, [PU: Springer], Like New, Books
1997, ISBN: 3540626859
[EAN: 9783540626855], Neubuch, [PU: Springer], Books
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Titel: | |
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Gedetalleerde informatie over het boek. - 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
Gebonden uitgave
pocket book
Verschijningsjaar: 1997
Uitgever: Springer
348 Bladzijden
Gewicht: 0,526 kg
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2007-10-17T00:15:46+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-03-27T23:01:27+01:00 (Amsterdam)
ISBN/EAN: 3540626859
ISBN - alternatieve schrijfwijzen:
3-540-62685-9, 978-3-540-62685-5
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: david ben
Titel van het boek: 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
Gegevens van de uitgever
Auteur: 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
Uitgeverij: Springer; Springer Berlin
338 Bladzijden
Verschijningsjaar: 1997-03-03
Berlin; Heidelberg; DE
Taal: Engels
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.Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
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9780521416030 Computational Learning Theory: An Introduction (Cambridge Tracts in Theoretical Computer Science) (M. H. G. Anthony, Norman L. Biggs, N. Biggs)
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