ISBN: 9783540573708
This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers w… Altro …
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Algorithmic Learning Theory: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - edizione con copertina flessibile
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1993, ISBN: 9783540573708
4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 1993
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Algorithmic Learning Theory: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings Klaus P. Jantke Editor - nuovo libro
ISBN: 9783540573708
This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers w… Altro …
Klaus P. Jantke & Shigenobu Kobayashi & Etsuji Tomita:
Algorithmic Learning Theory - edizione con copertina flessibileISBN: 9783540573708
This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers w… Altro …
Algorithmic Learning Theory: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - edizione con copertina flessibile
2008
ISBN: 9783540573708
444 Seiten Taschenbuch Gepflegtes ehemaliges Bibliotheksexemplar mit den üblichen Kennzeichnungen (z.B. Barcode und Inventarisierungsnummer); in der Regel foliiert (Umschlag aus selbstkle… Altro …
ISBN: 9783540573708
*Algorithmic Learning Theory* - 4th International Workshop ALT '93 Tokyo Japan November 8-10 1993. Proceedings. Auflage 1993 / Taschenbuch für 53.49 € / Aus dem Bereich: Bücher, English,,… Altro …
1993, ISBN: 9783540573708
4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 1993
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Informazioni dettagliate del libro - Algorithmic Learning Theory: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings Klaus P. Jantke Editor
EAN (ISBN-13): 9783540573708
ISBN (ISBN-10): 3540573704
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 1993
Editore: Springer Berlin Heidelberg Core >1 >T
444 Pagine
Peso: 0,666 kg
Lingua: eng/Englisch
Libro nella banca dati dal 2007-10-27T23:31:43+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-12-24T06:07:37+01:00 (Zurich)
ISBN/EAN: 9783540573708
ISBN - Stili di scrittura alternativi:
3-540-57370-4, 978-3-540-57370-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : tomita, takashi, learning international, shigenobu kobayashi, shinohara, ets, tom, klaus held
Titolo del libro: workshop 1993, ing, algorithmic learning theory, alt japan, tokyo certain, lecture notes artificial intelligence, computer
Dati dell'editore
Autore: Klaus P. Jantke; Shigenobu Kobayashi; Etsuji Tomita; Takashi Yokomori
Titolo: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Algorithmic Learning Theory - 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings
Editore: Springer; Springer Berlin
428 Pagine
Anno di pubblicazione: 1993-10-20
Berlin; Heidelberg; DE
Stampato / Fatto in
Peso: 1,380 kg
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XI, 428 p.
BC; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; algorithm; algorithmic learning theory; algorithms; artificial intelligence; intelligence; learning; learning theory; logic; machine learning; Mathematics, general; Theory of Computation; Computation by Abstract Devices; Artificial Intelligence; Mathematics; Theory of Computation; Mathematik; Theoretische Informatik; EA
Identifying and using patterns in sequential data.- Learning theory toward Genome Informatics.- Optimal layered learning: A PAC approach to incremental sampling.- Reformulation of explanation by linear logic toward logic for explanation.- Towards efficient inductive synthesis of expressions from input/output examples.- A typed ?-calculus for proving-by-example and bottom-up generalization procedure.- Case-based representation and learning of pattern languages.- Inductive resolution.- Generalized unification as background knowledge in learning logic programs.- Inductive inference machines that can refute hypothesis spaces.- On the duality between mechanistic learners and what it is they learn.- On aggregating teams of learning machines.- Learning with growing quality.- Use of reduction arguments in determining Popperian FIN-type learning capabilities.- Properties of language classes with finite elasticity.- Uniform characterizations of various kinds of language learning.- How to invent characterizable inference methods for regular languages.- Neural Discriminant Analysis.- A new algorithm for automatic configuration of Hidden Markov Models.- On the VC-dimension of depth four threshold circuits and the complexity of Boolean-valued functions.- On the sample complexity of consistent learning with one-sided error.- Complexity of computing Vapnik-Chervonenkis dimension.- ?-approximations of k-label spaces.- Exact learning of linear combinations of monotone terms from function value queries.- Thue systems and DNA — A learning algorithm for a subclass.- The VC-dimensions of finite automata with n states.- Unifying learning methods by colored digraphs.- A perceptual criterion for visually controlling learning.- Learning strategies using decision lists.- A decomposition based induction model for discovering concept clusters from databases.- Algebraic structure of some learning systems.- Induction of probabilistic rules based on rough set theory.Altri libri che potrebbero essere simili a questo:
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