-PDF Download- Machine Learning Ecml 2007 EBOOK

Machine Learning: ECML 2007

Author: Joost N. Kok

Publisher: Springer

Published: 2007-09-08

Total Pages: 812

ISBN-13: 3540749586

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.

Mining Complex Data

Author: Zbigniew W. Ras

Publisher: Springer

Published: 2008-05-13

Total Pages: 275

ISBN-13: 3540684166

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.

Machine Learning: ECML 2006

Author: Johannes Fürnkranz

Publisher: Springer Science & Business Media

Published: 2006-09-19

Total Pages: 873

ISBN-13: 354045375X

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 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 2005

Author: João Gama

Publisher: Springer Science & Business Media

Published: 2005-09-22

Total Pages: 784

ISBN-13: 3540292438

DOWNLOAD EBOOK →

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 2001

Author: Luc de Raedt

Publisher: Springer

Published: 2003-06-30

Total Pages: 635

ISBN-13: 3540447954

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: 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

Author: Nada Lavra

Publisher:

Published: 2014-01-15

Total Pages: 528

ISBN-13: 9783662191934

DOWNLOAD EBOOK →

Knowledge Discovery in Databases: PKDD 2007

Author: Joost N. Kok

Publisher: Springer Science & Business Media

Published: 2007-08-31

Total Pages: 660

ISBN-13: 3540749756

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.

Machine Learning: ECML'97

Author: Maarten van Someren

Publisher: Springer Science & Business Media

Published: 1997-04-09

Total Pages: 380

ISBN-13: 9783540628583

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. Also included are an abstract and two papers corresponding to the invited talks as well as descriptions from four satellite workshops. The volume covers the whole spectrum of current machine learning issues.