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Machine Learning Ecml 95
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Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač
Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 1995-04-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.
Download or read book Machine Learning written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning written by Nada Lavra and published by . This book was released on 2014-01-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač
Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer. This book was released on 1995-04-05 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.
Download or read book MACHINE LEARNING written by Nada Lavrac and published by . This book was released on 1995 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistics, Machine Learning and Knowledge Discovery in Databases by : Yves Kodratoff
Download or read book Statistics, Machine Learning and Knowledge Discovery in Databases written by Yves Kodratoff and published by . This book was released on 1995 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Maarten van Someren Publisher :Springer Science & Business Media ISBN 13 :9783540628583 Total Pages :380 pages Book Rating :4.6/5 (285 download)
Book Synopsis Machine Learning: ECML'97 by : Maarten van Someren
Download or read book Machine Learning: ECML'97 written by Maarten van Someren and published by Springer Science & Business Media. This book was released on 1997-04-09 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 2000 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning Proceedings 1995 by : Armand Prieditis
Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995
Book Synopsis Machine Learning: ECML 2000 by : Ramon Lopez de Mantaras
Download or read book Machine Learning: ECML 2000 written by Ramon Lopez de Mantaras and published by Springer. This book was released on 2007-03-06 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biennial European Conference on Machine Learning (ECML) series is intended to provide an international forum for the discussion of the latest high quality research results in machine learning and is the major European scienti?c event in the ?eld. The eleventh conference (ECML 2000) held in Barcelona, Catalonia, Spain from May 31 to June 2, 2000, has continued this tradition by attracting high quality papers from around the world. Scientists from 21 countries submitted 100 papers to ECML 2000, from which 20 were selected for long oral presentations and 23 for short oral presentations. This selection was based on the recommendations of at least two reviewers for each submitted paper. It is worth noticing that the number of papers reporting applications of machine learning has increased in comparison to past ECML conferences. We believe this fact shows the growing maturity of the ?eld. This volume contains the 43 accepted papers as well as the invited talks by Katharina Morik from the University of Dortmund and Pedro Domingos from the University of Washington at Seattle. In addition, three workshops were jointly organized by ECML 2000 and the European Network of Excellence - net: “Dealing with Structured Data in Machine Learning and Statistics W- stites”, “Machine Learning in the New Information Age” , and “Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Com- nation”.
Book Synopsis Statistics, Machine Learning and Knowledge Discovery in Databases by :
Download or read book Statistics, Machine Learning and Knowledge Discovery in Databases written by and published by . This book was released on 1995 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning: ECML 2001 by : Luc de Raedt
Download or read book Machine Learning: ECML 2001 written by Luc de Raedt and published by Springer Science & Business Media. This book was released on 2001-08-23 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning by : Claire Nedellec
Download or read book Machine Learning written by Claire Nedellec and published by . This book was released on 2014-01-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning written by Nada Lavra and published by . This book was released on 2014-01-15 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Jean-Francois Boulicaut Publisher :Springer Science & Business Media ISBN 13 :3540231056 Total Pages :597 pages Book Rating :4.5/5 (42 download)
Book Synopsis Machine Learning: ECML 2004 by : Jean-Francois Boulicaut
Download or read book Machine Learning: ECML 2004 written by Jean-Francois Boulicaut and published by Springer Science & Business Media. This book was released on 2004-09-07 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning: ECML 2002 by : Tapio Elomaa
Download or read book Machine Learning: ECML 2002 written by Tapio Elomaa and published by Springer. This book was released on 2002-08-05 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning and Its Applications by : Georgios Paliouras
Download or read book Machine Learning and Its Applications written by Georgios Paliouras and published by Springer. This book was released on 2003-06-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.
