Machine Learning Ecml 2002

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Machine Learning: ECML 2002

Author : Tapio Elomaa
Publisher : Springer
ISBN 13 : 3540367551
Total Pages : 548 pages
Book Rating : 4.5/5 (43 download)

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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 2002-01-01 with total page 548 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.

Machine Learning

Author : Tapio Elomaa
Publisher :
ISBN 13 : 9783662172230
Total Pages : 552 pages
Book Rating : 4.1/5 (722 download)

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Book Synopsis Machine Learning by : Tapio Elomaa

Download or read book Machine Learning written by Tapio Elomaa and published by . This book was released on 2014-01-15 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning

Author : Tapio Elomaa
Publisher :
ISBN 13 : 9783540440369
Total Pages : 532 pages
Book Rating : 4.4/5 (43 download)

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Book Synopsis Machine Learning by : Tapio Elomaa

Download or read book Machine Learning written by Tapio Elomaa and published by . This book was released on 2002 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning: ECML 2003

Author : Nada Lavrač
Publisher : Springer Science & Business Media
ISBN 13 : 3540201211
Total Pages : 521 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Machine Learning: ECML 2003 by : Nada Lavrač

Download or read book Machine Learning: ECML 2003 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 2003-09-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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- ...

Author :
Publisher :
ISBN 13 :
Total Pages : 614 pages
Book Rating : 4.3/5 (91 download)

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Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 2004 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning: ECML 2004

Author : Jean-Francois Boulicaut
Publisher : Springer Science & Business Media
ISBN 13 : 3540231056
Total Pages : 597 pages
Book Rating : 4.5/5 (42 download)

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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.

Machine Learning: ECML 2004

Author : Jean-Francois Boulicaut
Publisher : Springer
ISBN 13 : 3540301151
Total Pages : 597 pages
Book Rating : 4.5/5 (43 download)

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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. This book was released on 2004-11-05 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined,volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20–24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We are happy to provide some statistics about the conferences. 581 di?erent papers were submitted to ECML/PKDD (about a 75% increase over 2003); 280 weresubmittedtoECML2004only,194weresubmittedtoPKDD2004only,and 107weresubmitted to both.Aroundhalfofthe authorsforsubmitted papersare from outside Europe, which is a clear indicator of the increasing attractiveness of ECML/PKDD. The Program Committee members were deeply involved in what turned out to be a highly competitive selection process. We assigned each paper to 3 - viewers, deciding on the appropriate PC for papers submitted to both ECML and PKDD. As a result, ECML PC members reviewed 312 papers and PKDD PC members reviewed 269 papers. We accepted for publication regular papers (45 for ECML 2004 and 39 for PKDD 2004) and short papers that were as- ciated with poster presentations (6 for ECML 2004 and 9 for PKDD 2004). The globalacceptance ratewas14.5%for regular papers(17% if we include the short papers).

Machine Learning: ECML 2005

Author : João Gama
Publisher : Springer
ISBN 13 : 3540316922
Total Pages : 784 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Machine Learning: ECML 2005 by : João Gama

Download or read book Machine Learning: ECML 2005 written by João Gama and published by Springer. This book was released on 2005-11-15 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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- ...

Author :
Publisher :
ISBN 13 :
Total Pages : 540 pages
Book Rating : 4.3/5 (91 download)

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Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 2003 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning: ECML 2006

Author : Johannes Fürnkranz
Publisher : Springer
ISBN 13 : 354046056X
Total Pages : 873 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Machine Learning: ECML 2006 by : Johannes Fürnkranz

Download or read book Machine Learning: ECML 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Conformal Prediction for Reliable Machine Learning

Author : Vineeth Balasubramanian
Publisher : Newnes
ISBN 13 : 0124017150
Total Pages : 323 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Conformal Prediction for Reliable Machine Learning by : Vineeth Balasubramanian

Download or read book Conformal Prediction for Reliable Machine Learning written by Vineeth Balasubramanian and published by Newnes. This book was released on 2014-04-23 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection

Machine Learning: ECML 2001

Author : Luc de Raedt
Publisher : Springer Science & Business Media
ISBN 13 : 3540425365
Total Pages : 635 pages
Book Rating : 4.5/5 (44 download)

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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.

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Author : Hamid Reza Pourghasemi
Publisher : Springer
ISBN 13 : 3319733834
Total Pages : 296 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques by : Hamid Reza Pourghasemi

Download or read book Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi and published by Springer. This book was released on 2018-12-13 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

Text Mining and its Applications

Author : Spiros Sirmakessis
Publisher : Springer
ISBN 13 : 3540452192
Total Pages : 207 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Text Mining and its Applications by : Spiros Sirmakessis

Download or read book Text Mining and its Applications written by Spiros Sirmakessis and published by Springer. This book was released on 2012-12-06 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of text mining is simultaneously a minefield and a gold mine. It is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case based reasoning, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain umesolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identified, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the field of Text Mining -especially in relation to IT- and whether there still remain areas to be covered.

Advances in Neural Networks - ISNN 2009

Author : Wen Yu
Publisher : Springer
ISBN 13 : 3642015077
Total Pages : 1270 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Neural Networks - ISNN 2009 by : Wen Yu

Download or read book Advances in Neural Networks - ISNN 2009 written by Wen Yu and published by Springer. This book was released on 2009-05-20 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

Learning Structure and Schemas from Documents

Author : Marenglen Biba
Publisher : Springer Science & Business Media
ISBN 13 : 3642229123
Total Pages : 449 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Learning Structure and Schemas from Documents by : Marenglen Biba

Download or read book Learning Structure and Schemas from Documents written by Marenglen Biba and published by Springer Science & Business Media. This book was released on 2011-09-03 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field. Researcher, software developers, practitioners and students interested in the field of learning structure and schemas from documents will find the comprehensive coverage of this book useful for their research, academic, development and practice activity.

Proceedings of the International Conference on Signal, Networks, Computing, and Systems

Author : Daya K. Lobiyal
Publisher : Springer
ISBN 13 : 8132235894
Total Pages : 336 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Proceedings of the International Conference on Signal, Networks, Computing, and Systems by : Daya K. Lobiyal

Download or read book Proceedings of the International Conference on Signal, Networks, Computing, and Systems written by Daya K. Lobiyal and published by Springer. This book was released on 2016-10-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the first International Conference on Signal, Networks, Computing, and Systems (ICSNCS 2016) held at Jawaharlal Nehru University, New Delhi, India during February 25–27, 2016. The book is organized in to two volumes and primarily focuses on theory and applications in the broad areas of communication technology, computer science and information security. The book aims to bring together the latest scientific research works of academic scientists, professors, research scholars and students in the areas of signal, networks, computing and systems detailing the practical challenges encountered and the solutions adopted.