Algorithmic Learning Theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings - neues Buch
2009, ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
| hive.co.uk No. 9783642044144. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten. Details... |
2009, ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
| Springer.com new in stock. Versandkosten:spese di spedizione aggiuntive. (EUR 0.00) Details... |
2009, ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
| Springer.com Nr. 978-3-642-04414-4. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00) Details... |
2009, ISBN: 9783642044144
20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2009
| lehmanns.de Versandkosten:Download sofort lieferbar. (EUR 0.00) Details... |
Algorithmic Learning Theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings - neues Buch
2009, ISBN: 9783642044144
; PDF; Computing > Computer programming / software development > Algorithms & data structures, Springer Berlin Heidelberg
| hive.co.uk No. 9783642044144. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten. Details... |
Algorithmic Learning Theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings - neues Buch
2009, ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
Ricard Gavaldà ; Gabor Lugosi; Thomas Zeugmann; Sandra Zilles:
Algorithmic Learning Theory - neues Buch2009, ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
2009
ISBN: 9783642044144
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the… Mehr…
2009, ISBN: 9783642044144
20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2009
Bibliographische Daten des bestpassenden Buches
| Autor: | |
| Titel: | |
| ISBN-Nummer: |
Detailangaben zum Buch - Algorithmic Learning Theory
EAN (ISBN-13): 9783642044144
Erscheinungsjahr: 2009
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-01-15T21:42:10+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-08T11:54:55+01:00 (Berlin)
ISBN/EAN: 9783642044144
ISBN - alternative Schreibweisen:
978-3-642-04414-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: zille, lugosi, gavalda
Titel des Buches: porto portugal
Daten vom Verlag:
Autor/in: Ricard Gavaldà; Gabor Lugosi; Thomas Zeugmann; Sandra Zilles
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Algorithmic Learning Theory - 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings
Verlag: Springer; Springer Berlin
399 Seiten
Erscheinungsjahr: 2009-09-29
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XI, 399 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; active learning; algorithms; boolean function learning; complexity; data mining; half-space learning; iterative learning; language learning; learning; machine learning; query learning; tensor clustering; visualization; C; Artificial Intelligence; Programming Techniques; Data Mining and Knowledge Discovery; Natural Language Processing (NLP); Automated Pattern Recognition; Information Storage and Retrieval; Computer Science; Computerprogrammierung und Softwareentwicklung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Natürliche Sprachen und maschinelle Übersetzung; Mustererkennung; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BC
Invited Papers.- The Two Faces of Active Learning.- Inference and Learning in Planning.- Mining Heterogeneous Information Networks by Exploring the Power of Links.- Learning and Domain Adaptation.- Learning on the Web.- Regular Contributions.- Prediction with Expert Evaluators’ Advice.- Pure Exploration in Multi-armed Bandits Problems.- The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses.- Computable Bayesian Compression for Uniformly Discretizable Statistical Models.- Calibration and Internal No-Regret with Random Signals.- St. Petersburg Portfolio Games.- Reconstructing Weighted Graphs with Minimal Query Complexity.- Learning Unknown Graphs.- Completing Networks Using Observed Data.- Average-Case Active Learning with Costs.- Canonical Horn Representations and Query Learning.- Learning Finite Automata Using Label Queries.- Characterizing Statistical Query Learning: Simplified Notions and Proofs.- An Algebraic Perspective on Boolean Function Learning.- Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm.- Complexity versus Agreement for Many Views.- Error-Correcting Tournaments.- Difficulties in Forcing Fairness of Polynomial Time Inductive Inference.- Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data.- Uncountable Automatic Classes and Learning.- Iterative Learning from Texts and Counterexamples Using Additional Information.- Incremental Learning with Ordinal Bounded Example Memory.- Learning from Streams.- Smart PAC-Learners.- Approximation Algorithms for Tensor Clustering.- Agnostic Clustering.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Neuestes ähnliches Buch:
9783319116617 Algorithmic Learning Theory (Peter Auer; Alexander Clark; Thomas Zeugmann; Sandra Zilles)
- 9783319116617 Algorithmic Learning Theory (Peter Auer; Alexander Clark; Thomas Zeugmann; Sandra Zilles)
- 9783642044137 Algorithmic Learning Theory (Ricard Gavaldà; Gabor Lugosi; Thomas Zeugmann; Sandra Zilles)
- 9783540202912 Algorithmic Learning Theory (Ricard Gavalda)
- 9780387573700 Algorithmic Learning Theory: Proceedings (Lecture Notes in Artificial Intelligence) (Etsuji Tomita)
< zum Archiv...