Pavel Brazdil's Books

Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

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Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence.

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Page Count

349

Publisher

Springer Nature

Published Date

ISBN 10

3030670244

ISBN 13

9783030670245

Machine Learning: ECML-93

European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

By: Pavel B. Brazdil

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Machine Learning: ECML-93

European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

By: Pavel B. Brazdil

This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.

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Page Count

492

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540566023

ISBN 13

9783540566021

Historical Geography in Czechia: Themes and Concepts

By: Eva Semotanová,Pavel Chromý,Zden?k Ku?era

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Historical Geography in Czechia: Themes and Concepts

By: Eva Semotanová,Pavel Chromý,Zden?k Ku?era

Although the content of historical geography may be viewed from different perspectives, there is no doubt that historical geography has interdisciplinary character. The publication represents an outcome of cooperation among geographers and historians within the Historical Geography Research Centre that continues more than forty years old tradition of common researches in Czechia. Beside discussing the disciplinary origins, the most vital research topics of present Czech historical geography are reflected in its contents - transformations of landscapes, historical towns, and of regions.

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Page Count

424

Publisher

LIT Verlag

Published Date

ISBN 10

364396059X

ISBN 13

9783643960597

Metalearning

Applications to Data Mining

By: Pavel Brazdil,Christophe Giraud Carrier,Carlos Soares,Ricardo Vilalta

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Metalearning

Applications to Data Mining

By: Pavel Brazdil,Christophe Giraud Carrier,Carlos Soares,Ricardo Vilalta

Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.

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Page Count

182

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540732624

ISBN 13

9783540732624

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings

By: Pavel Brazdil,Alípio Jorge

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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings

By: Pavel Brazdil,Alípio Jorge

This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections on extraction of knowledge from databases, AI techniques for financial time series analysis, multi-agent systems, AI logics and logic programming, constraint satisfaction, and AI planning.

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Page Count

431

Publisher

Springer Science & Business Media

Published Date

ISBN 10

354043030X

ISBN 13

9783540430308

Machine Learning: ECML-93

European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

By: Pavel B. Brazdil

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Machine Learning: ECML-93

European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

By: Pavel B. Brazdil

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Solve jigsaw puzzle

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Page Count

492

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540566023

ISBN 13

9783540566021

Book's by Pavel Brazdil

Metalearning

Metalearning

Machine Learning: ECML-93

Machine Learning: ECML-93

Historical Geography in Czechia: Themes and Concepts

Historical Geography in Czechia: Themes and Concepts

Metalearning

Metalearning

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Machine Learning: ECML-93

Machine Learning: ECML-93

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