Machine Learning
Author: Claire Nedellec
Publisher:
Published: 2014-01-15
Total Pages: 440
ISBN-13: 9783662202531
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Machine Learning: ECML-98
Author: Claire Nedellec
Publisher: Lecture Notes in Artificial Intelligence
Published: 1998-04-08
Total Pages: 440
ISBN-13:
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.
Machine Learning: ECML 2006
Author: Johannes Fürnkranz
Publisher: Springer
Published: 2006-09-21
Total Pages: 873
ISBN-13: 354046056X
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.
Machine Learning: ECML 2003
Author: Nada Lavrač
Publisher: Springer Science & Business Media
Published: 2003-09-12
Total Pages: 521
ISBN-13: 3540201211
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 14th European Conference on Machine Learning, ECML 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with PKDD 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for PKDD 2003, selected from a total of 332 submissions. The papers address all current issues in machine learning including support vector machine, inductive inference, feature selection algorithms, reinforcement learning, preference learning, probabilistic grammatical inference, decision tree learning, clustering, classification, agent learning, Markov networks, boosting, statistical parsing, Bayesian learning, supervised learning, and multi-instance learning.
Machine Learning: ECML 2004
Author: Jean-Francois Boulicaut
Publisher: Springer Science & Business Media
Published: 2004-09-07
Total Pages: 597
ISBN-13: 3540231056
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 15th European Conference on Machine Learning, ECML 2004, held in Pisa, Italy, in September 2004, jointly with PKDD 2004. The 45 revised full papers and 6 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 280 papers submitted to ECML and 107 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
Machine Learning: ECML 2007
Author: Joost N. Kok
Publisher: Springer Science & Business Media
Published: 2007-09-05
Total Pages: 829
ISBN-13: 3540749578
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 18th European Conference on Machine Learning, ECML 2007, held in Warsaw, Poland, September 2007, jointly with PKDD 2007. The 41 revised full papers and 37 revised short papers presented together with abstracts of four invited talks were carefully reviewed and selected from 592 abstracts submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
KI-98: Advances in Artificial Intelligence
Author: Otthein Herzog
Publisher: Springer Science & Business Media
Published: 1998-09-09
Total Pages: 376
ISBN-13: 9783540650805
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 22nd Annual German Conference on Artificial Intelligence, KI-98, held in Bremen, Germany, in September 1998. The 16 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Also included are three invited papers and abstracts of two invited talks, as well as an appendix containing up-to-date descriptions of German AI projects. Thus the volume gives a unique overview of AI research in Germany.
Computational Intelligence and Security
Author: Yue Hao
Publisher: Springer
Published: 2006-06-18
Total Pages: 1160
ISBN-13: 3540315993
DOWNLOAD EBOOK →The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications. The second volume is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, security models and architecture, security management, watermarking and information hiding, web and network applications, image and signal processing, and applications.
Machine Learning: ECML 2001
Author: Luc de Raedt
Publisher: Springer Science & Business Media
Published: 2001-08-23
Total Pages: 635
ISBN-13: 3540425365
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.
Machine Learning
