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Machine Learning: ECML 2005

Machine Learning: ECML 2005
Author: João Gama
Publisher: Springer
Total Pages: 784
Release: 2005-11-15
Genre: Computers
ISBN: 3540316922

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The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua- ?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the ?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram,ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge.


Machine Learning: ECML 2005

Machine Learning: ECML 2005
Author: João Gama
Publisher: Springer Science & Business Media
Total Pages: 784
Release: 2005-09-22
Genre: Computers
ISBN: 3540292438

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This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 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

Machine Learning: ECML 2007
Author: Joost N. Kok
Publisher: Springer
Total Pages: 812
Release: 2007-09-08
Genre: Computers
ISBN: 3540749586

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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.


Machine Learning: ECML 2006

Machine Learning: ECML 2006
Author: Johannes Fürnkranz
Publisher: Springer Science & Business Media
Total Pages: 873
Release: 2006-09-19
Genre: Computers
ISBN: 354045375X

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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- ...

Machine Learning, ECML- ...
Author:
Publisher:
Total Pages: 540
Release: 2003
Genre: Induction (Logic)
ISBN:

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Machine Learning: ECML 2001

Machine Learning: ECML 2001
Author: Luc de Raedt
Publisher: Springer Science & Business Media
Total Pages: 635
Release: 2001-08-23
Genre: Computers
ISBN: 3540425365

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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

Machine Learning
Author:
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

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Machine Learning: ECML-98

Machine Learning: ECML-98
Author: Claire Nedellec
Publisher: Lecture Notes in Artificial Intelligence
Total Pages: 440
Release: 1998-04-08
Genre: Computers
ISBN:

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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

Machine Learning
Author: Nada Lavra
Publisher:
Total Pages: 528
Release: 2014-01-15
Genre:
ISBN: 9783662191934

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Machine Learning: ECML 2006

Machine Learning: ECML 2006
Author: Johannes Fürnkranz
Publisher: Springer
Total Pages: 873
Release: 2006-09-21
Genre: Computers
ISBN: 354046056X

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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.