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Machine Learning: ECML 2000

Author : Ramon Lopez de Mantaras
Publisher : Springer
ISBN 13 : 3540451641
Total Pages : 469 pages
Book Rating : 4.5/5 (44 download)

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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”.

Machine Learning, ECML- ...

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

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Book Synopsis Machine Learning, ECML- ... by :

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:

Meta-Learning in Decision Tree Induction

Author : Krzysztof Grąbczewski
Publisher : Springer
ISBN 13 : 3319009605
Total Pages : 349 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Meta-Learning in Decision Tree Induction by : Krzysztof Grąbczewski

Download or read book Meta-Learning in Decision Tree Induction written by Krzysztof Grąbczewski and published by Springer. This book was released on 2013-09-11 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.

Metalearning

Author : Pavel Brazdil
Publisher : Springer Nature
ISBN 13 : 3030670244
Total Pages : 349 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Metalearning by : Pavel Brazdil

Download or read book Metalearning written by Pavel Brazdil and published by Springer Nature. This book was released on 2022 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Discovery Science

Author : Steffen Lange
Publisher : Springer
ISBN 13 : 3540361820
Total Pages : 478 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Discovery Science by : Steffen Lange

Download or read book Discovery Science written by Steffen Lange and published by Springer. This book was released on 2003-08-03 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 5th International Conference on Discovery Science (DS 2002) held at the Mövenpick Hotel, Lub ̈eck, G- many, November 24-26, 2002. The conference was supported by CorpoBase, DFKI GmbH, and JessenLenz. The conference was collocated with the 13th International Conference on - gorithmic Learning Theory (ALT 2002). Both conferences were held in parallel and shared?ve invited talks as well as all social events. The combination of ALT 2002 and DS 2002 allowed for a comprehensive treatment of recent de- lopments in computational learning theory and machine learning - some of the cornerstones of discovery science. In response to the call for papers 76 submissions were received. The program committee selected 17 submissions as regular papers and 29 submissions as poster presentations of which 27 have been submitted for publication. This selection was based on clarity, signi?cance, and originality, as well as on relevance to the rapidly evolving?eld of discovery science.

Genetic and Evolutionary Computation--GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
ISBN 13 : 3540406026
Total Pages : 1294 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Genetic and Evolutionary Computation--GECCO 2003 by : Erick Cantú-Paz

Download or read book Genetic and Evolutionary Computation--GECCO 2003 written by Erick Cantú-Paz and published by Springer Science & Business Media. This book was released on 2003-07-08 with total page 1294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.

Planning Based on Decision Theory

Author : Giacomo Della Riccia
Publisher : Springer
ISBN 13 : 3709125308
Total Pages : 170 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Planning Based on Decision Theory by : Giacomo Della Riccia

Download or read book Planning Based on Decision Theory written by Giacomo Della Riccia and published by Springer. This book was released on 2014-05-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, Management Science and Computer Science. Software agents of e-commerce, mediators of Information Retrieval Systems and Database based Information Systems are typical new application areas. Until now, planning methods were successfully applied in production, logistics, marketing, finance, management, and used in robots, software agents etc. It is the special feature of the book that planning is embedded into decision theory, and this will give the interested reader new perspectives to follow-up.

Knowledge Discovery in Databases: PKDD 2004

Author : Jean-Francois Boulicaut
Publisher : Springer Science & Business Media
ISBN 13 : 3540231080
Total Pages : 578 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2004 by : Jean-Francois Boulicaut

Download or read book Knowledge Discovery in Databases: PKDD 2004 written by Jean-Francois Boulicaut and published by Springer Science & Business Media. This book was released on 2004-09-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 194 papers submitted to PKDD and 107 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Case-Based Reasoning Research and Development

Author : David W. Aha
Publisher : Springer
ISBN 13 : 3540445935
Total Pages : 769 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Case-Based Reasoning Research and Development by : David W. Aha

Download or read book Case-Based Reasoning Research and Development written by David W. Aha and published by Springer. This book was released on 2003-05-15 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2001 International Conference on Case-Based Reasoning (ICCBR 2001, www.iccbr.org/iccbr01), the fourth in the biennial ICCBR series (1995 in Sesimbra, Portugal; 1997 in Providence, Rhode Island (USA); 1999 in Seeon, Germany), was held during 30 July – 2 August 2001 in Vancouver, Canada. ICCBR is the premier international forum for researchers and practitioners of case based reasoning (CBR). The objectives of this meeting were to nurture significant, relevant advances made in this field (both in research and application), communicate them among all attendees, inspire future advances, and continue to support the vision that CBR is a valuable process in many research disciplines, both computational and otherwise. ICCBR 2001 was the first ICCBR meeting held on the Pacific coast, and we used the setting of beautiful Vancouver as an opportunity to enhance participation from the Pacific Rim communities, which contributed 28% of the submissions. During this meeting, we were fortunate to host invited talks by Ralph Bergmann, Ken Forbus, Jaiwei Han, Ramon López de Mántaras, and Manuela Veloso. Their contributions ensured a stimulating meeting; we thank them all.

Innovations in Applied Artificial Intelligence

Author : Bob Orchard
Publisher : Springer
ISBN 13 : 3540246770
Total Pages : 1293 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Innovations in Applied Artificial Intelligence by : Bob Orchard

Download or read book Innovations in Applied Artificial Intelligence written by Bob Orchard and published by Springer. This book was released on 2004-04-22 with total page 1293 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Intelligent systems must perform in order to be in demand. ” Intelligent systems technology is being applied steadily in solving many day-to-day problems. Each year the list of real-world deployed applications that inconspicuously host the results of research in the area grows considerably. These applications are having a significant impact in industrial operations, in financial circles, in transportation, in education, in medicine, in consumer products, in games and elsewhere. A set of selected papers presented at the seventeenth in the series of conferences on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2004), sponsored by the International Society of Applied Intelligence, is offered in this manuscript. These papers highlight novel applications of the technology and show how new research could lead to new and innovative applications. We hope that you find these papers to be educational, useful in your own research, and stimulating. In addition, we have introduced some special sessions to emphasize a few areas of artificial intelligence (AI) that are either relatively new, have received considerable attention recently or perhaps have not yet been represented well. To this end, we have included special sessions on e-learning, bioinformatics, and human-robot interaction (HRI) to complement the usual offerings in areas such as data mining, machine learning, intelligent systems, neural networks, genetic algorithms, autonomous agents, natural language processing, intelligent user interfaces, evolutionary computing, fuzzy logic, computer vision and image processing, reasoning, heuristic search, security, Internet applications, constraint satisfaction problems, design, and expert systems.

AI 2001: Advances in Artificial Intelligence

Author : Mike Brooks
Publisher : Springer
ISBN 13 : 3540456562
Total Pages : 678 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis AI 2001: Advances in Artificial Intelligence by : Mike Brooks

Download or read book AI 2001: Advances in Artificial Intelligence written by Mike Brooks and published by Springer. This book was released on 2003-07-31 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001. The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.

AI 2001: Advances in Artificial Intelligence

Author : Markus Stumptner
Publisher : Springer Science & Business Media
ISBN 13 : 3540429603
Total Pages : 678 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis AI 2001: Advances in Artificial Intelligence by : Markus Stumptner

Download or read book AI 2001: Advances in Artificial Intelligence written by Markus Stumptner and published by Springer Science & Business Media. This book was released on 2001-11-28 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001. The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

Author : Jose Mira
Publisher : Springer Science & Business Media
ISBN 13 : 3540422358
Total Pages : 862 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence by : Jose Mira

Download or read book Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence written by Jose Mira and published by Springer Science & Business Media. This book was released on 2001-06-05 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

Advances in Computational Intelligence and Learning

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
ISBN 13 : 9401003246
Total Pages : 518 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Advances in Computational Intelligence and Learning by : Hans-Jürgen Zimmermann

Download or read book Advances in Computational Intelligence and Learning written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.

Machine Intelligence: Quo Vadis?

Author : Peter Sincak
Publisher : World Scientific
ISBN 13 : 9814483281
Total Pages : 475 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Machine Intelligence: Quo Vadis? by : Peter Sincak

Download or read book Machine Intelligence: Quo Vadis? written by Peter Sincak and published by World Scientific. This book was released on 2004-04-19 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the contributions of leading researchers in the field of machine intelligence, covering areas such as fuzzy logic, neural networks, evolutionary computation and hybrid systems.There is wide coverage of the subject — from simple tools, through industrial applications, to applications in high-level intelligent systems which are biologically motivated, such as humanoid robots (and selected parts of these systems, like the visual cortex). Readers will gain a comprehensive overview of the issues in machine intelligence, a field which promises to play a very important role in the information society of the future.

KI 2011: Advances in Artificial Intelligence

Author : Joscha Bach
Publisher : Springer
ISBN 13 : 3642244556
Total Pages : 382 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis KI 2011: Advances in Artificial Intelligence by : Joscha Bach

Download or read book KI 2011: Advances in Artificial Intelligence written by Joscha Bach and published by Springer. This book was released on 2011-10-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 34th Annual German Conference on Artificial Intelligence, KI 2011, held in Berlin, Germany, in October 2011. The 32 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 81 submissions. The papers are divided in topical sections on computational learning and datamining, knowledge representation and reasonings, augmented reality, swarm intelligence; and planning and scheduling.

Local Pattern Detection

Author : Katharina Morik
Publisher : Springer
ISBN 13 : 3540318941
Total Pages : 242 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Local Pattern Detection by : Katharina Morik

Download or read book Local Pattern Detection written by Katharina Morik and published by Springer. This book was released on 2005-07-11 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?c and commercial information. The need to analyze these masses of data has led to the evolution of the new ?eld knowledge discovery in databases (KDD) at the intersection of machine learning, statistics and database technology. Being interdisciplinary by nature, the ?eld o?ers the opportunity to combine the expertise of di?erent ?elds intoacommonobjective.Moreover,withineach?elddiversemethodshave been developed and justi?ed with respect to di?erent quality criteria. We have toinvestigatehowthesemethods cancontributeto solvingthe problemofKDD. Traditionally, KDD was seeking to ?nd global models for the data that - plain most of the instances of the database and describe the general structure of the data. Examples are statistical time series models, cluster models, logic programs with high coverageor classi?cation models like decision trees or linear decision functions. In practice, though, the use of these models often is very l- ited, because global models tend to ?nd only the obvious patterns in the data, 1 which domain experts already are aware of . What is really of interest to the users are the local patterns that deviate from the already-known background knowledge. David Hand, who organized a workshop in 2002, proposed the new ?eld of local patterns.