- 5 Ergebnisse
Kleinster Preis: € 6,61, größter Preis: € 57,23, Mittelwert: € 29,19
1
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in ... / Lecture Notes in Artificial Intelligence) - Elomaa, Tapio, Hannu Toivonen and Heikki Mannila
Bestellen
bei buchfreund.de
€ 31,11
Versand: € 3,001
Bestellen
Details beim Anbieter
gesponserter Link
Elomaa, Tapio, Hannu Toivonen and Heikki Mannila:

Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in ... / Lecture Notes in Artificial Intelligence) - Taschenbuch

2008, ISBN: 9783540440369

552 Seiten Taschenbuch Gepflegtes ehemaliges Bibliotheksexemplar mit den üblichen Kennzeichnungen (z.B. Barcode und Inventarisierungsnummer); in der Regel foliiert (Umschlag aus selbstkle… Mehr…

Versandkosten:Versandkosten innerhalb der BRD. (EUR 3.00) getbooks GmbH, 65520 Idstein
zuklappen (X)
2
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in . / Lecture Notes in Artificial Intelligence) - Elomaa, Tapio, Hannu Toivonen and Heikki Mannila
Bestellen
bei ZVAB.com
€ 6,61
Versand: € 3,501
Bestellen
Details beim Anbieter
gesponserter Link

Elomaa, Tapio, Hannu Toivonen and Heikki Mannila:

Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in . / Lecture Notes in Artificial Intelligence) - Taschenbuch

2008, ISBN: 3540440364

[EAN: 9783540440369], Gebraucht, sehr guter Zustand, [SC: 3.5], [PU: Springer], IT-AUSBILDUNG & -BERUFE / PROGRAMMIERUNG WEBDESIGN INFORMATIK NATURWISSENSCHAFTEN TECHNIK COMPUTER INTERNET… Mehr…

NOT NEW BOOK. Versandkosten: EUR 3.50 getbooks GmbH, Bad Camberg, HE, Germany [55883480] [Rating: 4 (von 5)]
zuklappen (X)
3
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in . / Lecture Notes in Artificial Intelligence) - Elomaa, Tapio, Hannu Toivonen and Heikki Mannila
Bestellen
bei ZVAB.com
€ 6,61
Versand: € 3,501
Bestellen
Details beim Anbieter
gesponserter Link
Elomaa, Tapio, Hannu Toivonen and Heikki Mannila:
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in . / Lecture Notes in Artificial Intelligence) - Taschenbuch

2008

ISBN: 3540440364

[EAN: 9783540440369], Gebraucht, sehr guter Zustand, [SC: 3.5], [PU: Springer], IT-AUSBILDUNG & -BERUFE / PROGRAMMIERUNG WEBDESIGN INFORMATIK NATURWISSENSCHAFTEN TECHNIK COMPUTER INTERNET… Mehr…

NOT NEW BOOK. Versandkosten: EUR 3.50 getbooks GmbH, Bad Camberg, HE, Germany [55883480] [Rating: 5 (von 5)]
zuklappen (X)
4
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in Computer Science, 2430, Band 2430) - Elomaa, Tapio, Toivonen, Hannu, Mannila, Heikki
Bestellen
bei amazon.de
€ 57,23
Versand: € 0,001
Bestellen
Details beim Anbieter
gesponserter Link
Elomaa, Tapio, Toivonen, Hannu, Mannila, Heikki:
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in Computer Science, 2430, Band 2430) - Taschenbuch

2008, ISBN: 9783540440369

Springer, Taschenbuch, Auflage: 2002, 552 Seiten, Publiziert: 2008-06-13T00:00:01Z, Produktgruppe: Buch, 1.69 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Mehr…

Versandkosten:Auf Lager, Lieferung von Amazon. (EUR 0.00) Amazon.de
zuklappen (X)
5
Bestellen
bei Biblio.co.uk
$ 46,99
(ca. € 44,37)
Versand: € 17,731
Bestellen
Details beim Anbieter
gesponserter Link
Elomaa, Tapio [Editor]; Mannila, Heikki [Editor]; Toivonen, Hannu [Editor];:
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in ... / Lecture Notes in Artificial Intelligence) - Taschenbuch

2002, ISBN: 9783540440369

Springer, 2002-08-05. Paperback. Very Good. 9x6x1. Ex-library paperback in very nice condition with the usual markings and attachments. Except for library markings, interior clean and u… Mehr…

Versandkosten: EUR 17.73 GuthrieBooks
zuklappen (X)
1Da einige Plattformen keine Versandkonditionen übermitteln und diese vom Lieferland, dem Einkaufspreis, dem Gewicht und der Größe des Artikels, einer möglichen Mitgliedschaft der Plattform, einer direkten Lieferung durch die Plattform oder über einen Drittanbieter (Marketplace), etc. abhängig sein können, ist es möglich, dass die von eurobuch angegebenen Versandkosten nicht mit denen der anbietenden Plattform übereinstimmen.

Bibliographische Daten des bestpassenden Buches

Details zum Buch
Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in Computer Science, 2430, Band 2430)
Autor:
Titel:
ISBN-Nummer:

9783540440369


This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.

Detailangaben zum Buch - Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings (Lecture Notes in Computer Science, 2430, Band 2430)


EAN (ISBN-13): 9783540440369
ISBN (ISBN-10): 3540440364
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2002
Herausgeber: Springer
548 Seiten
Gewicht: 0,818 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-03-22T21:57:34+01:00 (Vienna)
Detailseite zuletzt geändert am 2024-02-12T13:10:00+01:00 (Vienna)
ISBN/EAN: 9783540440369

ISBN - alternative Schreibweisen:
3-540-44036-4, 978-3-540-44036-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: toivonen, männil, tapio
Titel des Buches: machine learning, european conference artificial intelligence, ecm, proceedings artificial intelligence conference, toivonen, come finland, lecture notes artificial intelligence, august, helsinki

Daten vom Verlag:

Autor/in: Tapio Elomaa; Heikki Mannila; Hannu Toivonen
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning: ECML 2002 - 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings
Verlag: Springer; Springer Berlin
538 Seiten
Erscheinungsjahr: 2002-08-05
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 538 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Boosting; Markov decision process; Support Vector Machine; classification; kernel method; learning; machine learning; reinforcement learning; algorithm analysis and problem complexity; Artificial Intelligence; Algorithms; Formal Languages and Automata Theory; Algorithmen und Datenstrukturen; Theoretische Informatik; EA

Contributed Papers.- Convergent Gradient Ascent in General-Sum Games.- Revising Engineering Models: Combining Computational Discovery with Knowledge.- Variational Extensions to EM and Multinomial PCA.- Learning and Inference for Clause Identification.- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.- Variance Optimized Bagging.- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code.- Sparse Online Greedy Support Vector Regression.- Pairwise Classification as an Ensemble Technique.- RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood.- Using Hard Classifiers to Estimate Conditional Class Probabilities.- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner.- Scaling Boosting by Margin-Based Inclusion of Features and Relations.- Multiclass Alternating Decision Trees.- Possibilistic Induction in Decision-Tree Learning.-Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains.- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion.- Learning to Play a Highly Complex Game from Human Expert Games.- Reliable Classifications with Machine Learning.- Robustness Analyses of Instance-Based Collaborative Recommendation.- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme.- Towards a Simple Clustering Criterion Based on Minimum Length Encoding.- Class Probability Estimation and Cost-Sensitive Classification Decisions.- On-Line Support Vector Machine Regression.- Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning.- A Multistrategy Approach to the Classification of Phases in Business Cycles.- A Robust Boosting Algorithm.- Case Exchange Strategies in Multiagent Learning.- Inductive Confidence Machines for Regression.- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique.- Propagation of Q-values in Tabular TD(?).- Transductive Confidence Machines for Pattern Recognition.- Characterizing Markov Decision Processes.- Phase Transitions and Stochastic Local Search in k-Term DNF Learning.- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.- Boosting Density Function Estimators.- Ranking with Predictive Clustering Trees.- Support Vector Machines for Polycategorical Classification.- Learning Classification with Both Labeled and Unlabeled Data.- An Information Geometric Perspective on Active Learning.- Stacking with an Extended Set of Meta-level Attributes and MLR.- Invited Papers.- Finding Hidden Factors Using Independent Component Analysis.- Reasoning with Classifiers.- A Kernel Approach for Learning from almost Orthogonal Patterns.- Learning with Mixture Models: Concepts and Applications.
Includes supplementary material: sn.pub/extras
< zum Archiv...