Learning With Nested Generalized Exemplars

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Learning with Nested Generalized Exemplars

Author : Steven L. Salzberg
Publisher : Springer Science & Business Media
ISBN 13 : 1461315492
Total Pages : 172 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Learning with Nested Generalized Exemplars by : Steven L. Salzberg

Download or read book Learning with Nested Generalized Exemplars written by Steven L. Salzberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning is one of the oldest and most intriguing areas of Ar tificial Intelligence. From the moment that computer visionaries first began to conceive the potential for general-purpose symbolic computa tion, the concept of a machine that could learn by itself has been an ever present goal. Today, although there have been many implemented com puter programs that can be said to learn, we are still far from achieving the lofty visions of self-organizing automata that spring to mind when we think of machine learning. We have established some base camps and scaled some of the foothills of this epic intellectual adventure, but we are still far from the lofty peaks that the imagination conjures up. Nevertheless, a solid foundation of theory and technique has begun to develop around a variety of specialized learning tasks. Such tasks in clude discovery of optimal or effective parameter settings for controlling processes, automatic acquisition or refinement of rules for controlling behavior in rule-driven systems, and automatic classification and di agnosis of items on the basis of their features. Contributions include algorithms for optimal parameter estimation, feedback and adaptation algorithms, strategies for credit/blame assignment, techniques for rule and category acquisition, theoretical results dealing with learnability of various classes by formal automata, and empirical investigations of the abilities of many different learning algorithms in a diversity of applica tion areas.

Hybrid Artificial Intelligent Systems

Author : Francisco Martínez-Álvarez
Publisher : Springer
ISBN 13 : 3319320343
Total Pages : 771 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Francisco Martínez-Álvarez

Download or read book Hybrid Artificial Intelligent Systems written by Francisco Martínez-Álvarez and published by Springer. This book was released on 2016-04-14 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, in April 2016. The 63 full papers published in this volume were carefully reviewed and selected from 150 submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems for data mining and applications.

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 008047702X
Total Pages : 558 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2005-07-13 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output

Intelligent Integration of Information

Author : Gio Wiederhold
Publisher : Springer Science & Business Media
ISBN 13 : 1461304679
Total Pages : 206 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Intelligent Integration of Information by : Gio Wiederhold

Download or read book Intelligent Integration of Information written by Gio Wiederhold and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Integration of Information presents a collection of chapters bringing the science of intelligent integration forward. The focus on integration defines tasks that increase the value of information when information from multiple sources is accessed, related, and combined. This contributed volume has also been published as a special double issue of the Journal of Intelligent Information Systems (JIIS), Volume 6:2/3.

Machine Learning: ECML 2006

Author : Johannes Fürnkranz
Publisher : Springer Science & Business Media
ISBN 13 : 354045375X
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 Science & Business Media. This book was released on 2006-09-19 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.

Advances in Knowledge Discovery and Data Mining

Author : Tu Bao Ho
Publisher : Springer
ISBN 13 : 3540319352
Total Pages : 885 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Tu Bao Ho

Download or read book Advances in Knowledge Discovery and Data Mining written by Tu Bao Ho and published by Springer. This book was released on 2005-05-13 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causality induction, and knowledge-based systems. This year’s conference (PAKDD 2005) was the ninth of the PAKDD series, and carried the tradition in providing high-quality technical programs to facilitate research in knowledge discovery and data mining. It was held in Hanoi, Vietnam at the Melia Hotel, 18–20 May 2005. We are pleased to provide some statistics about PAKDD 2005. This year we received 327 submissions (a 37% increase over PAKDD 2004), which is the highest number of submissions since the first PAKDD in 1997) from 28 countries/regions: Australia (33), Austria (1), Belgium (2), Canada (11), China (91), Switzerland (2), France (9), Finland (1), Germany (5), Hong Kong (11), Indonesia (1), India (2), Italy (2), Japan (21), Korea (51), Malaysia (1), Macau (1), New Zealand (3), Poland (4), Pakistan (1), Portugal (3), Singapore (12), Taiwan (19), Thailand (7), Tunisia (2), UK (5), USA (31), and Vietnam (9). The submitted papers went through a rigorous reviewing process. Each submission was reviewed by at least two reviewers, and most of them by three or four reviewers.

Rule-Based Programming

Author : Thaddeus J. Kowalski
Publisher : Springer Science & Business Media
ISBN 13 : 1461314356
Total Pages : 317 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Rule-Based Programming by : Thaddeus J. Kowalski

Download or read book Rule-Based Programming written by Thaddeus J. Kowalski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rule-Based Programming is a broad presentation of the rule-based programming method with many example programs showing the strengths of the rule-based approach. The rule-based approach has been used extensively in the development of artificial intelligence systems, such as expert systems and machine learning. This rule-based programming technique has been applied in such diverse fields as medical diagnostic systems, insurance and banking systems, as well as automated design and configuration systems. Rule-based programming is also helpful in bridging the semantic gap between an application and a program, allowing domain specialists to understand programs and participate more closely in their development. Over sixty programs are presented and all programs are available from an ftp site. Many of these programs are presented in several versions allowing the reader to see how realistic programs are elaborated from `back of envelope' models. Metaprogramming is also presented as a technique for bridging the `semantic gap'. Rule-Based Programming will be of interest to programmers, systems analysts and other developers of expert systems as well as to researchers and practitioners in artificial intelligence, computer science professionals and educators.

An Introduction to Fuzzy Logic Applications in Intelligent Systems

Author : Ronald R. Yager
Publisher : Springer Science & Business Media
ISBN 13 : 1461536405
Total Pages : 358 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis An Introduction to Fuzzy Logic Applications in Intelligent Systems by : Ronald R. Yager

Download or read book An Introduction to Fuzzy Logic Applications in Intelligent Systems written by Ronald R. Yager and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Generating Abstraction Hierarchies

Author : Craig A. Knoblock
Publisher : Springer Science & Business Media
ISBN 13 : 1461531527
Total Pages : 179 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Generating Abstraction Hierarchies by : Craig A. Knoblock

Download or read book Generating Abstraction Hierarchies written by Craig A. Knoblock and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generating Abstraction Hierarchies presents a completely automated approach to generating abstractions for problem solving. The abstractions are generated using a tractable, domain-independent algorithm whose only inputs are the definition of a problem space and the problem to be solved and whose output is an abstraction hierarchy that is tailored to the particular problem. The algorithm generates abstraction hierarchies that satisfy the `ordered monotonicity' property, which guarantees that the structure of an abstract solution is not changed in the process of refining it. An abstraction hierarchy with this property allows a problem to be decomposed such that the solution in an abstract space can be held invariant while the remaining parts of a problem are solved. The algorithm for generating abstractions is implemented in a system called ALPINE, which generates abstractions for a hierarchical version of the PRODIGY problem solver. Generating Abstraction Hierarchies formally defines this hierarchical problem solving method, shows that under certain assumptions this method can reduce the size of a search space from exponential to linear in the solution size, and describes the implementation of this method in PRODIGY. The abstractions generated by ALPINE are tested in multiple domains on large problem sets and are shown to produce shorter solutions with significantly less search than problem solving without using abstraction. Generating Abstraction Hierarchies will be of interest to researchers in machine learning, planning and problem reformation.

Discovery Science

Author : Setsuo Arikawa
Publisher : Springer Science & Business Media
ISBN 13 : 3540653902
Total Pages : 484 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Discovery Science by : Setsuo Arikawa

Download or read book Discovery Science written by Setsuo Arikawa and published by Springer Science & Business Media. This book was released on 1998-11-25 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Discovery Science, DS'98, held in Fukuoka, Japan, in December 1998. The volume presents 28 revised full papers selected from a total of 76 submissions. Also included are five invited contributions and 34 selected poster presentations. The ultimate goal of DS'98 and this volume is to establish discovery science as a new field of research and development. The papers presented relate discovery science to areas as formal logic, knowledge processing, machine learning, automated deduction, searching, neural networks, database management, information retrieval, intelligent network agents, visualization, knowledge discovery, data mining, information extraction, etc.

Structure Level Adaptation for Artificial Neural Networks

Author : Tsu-Chang Lee
Publisher : Springer Science & Business Media
ISBN 13 : 1461539544
Total Pages : 224 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Structure Level Adaptation for Artificial Neural Networks by : Tsu-Chang Lee

Download or read book Structure Level Adaptation for Artificial Neural Networks written by Tsu-Chang Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 63 3. 2 Function Level Adaptation 64 3. 3 Parameter Level Adaptation. 67 3. 4 Structure Level Adaptation 70 3. 4. 1 Neuron Generation . 70 3. 4. 2 Neuron Annihilation 72 3. 5 Implementation . . . . . 74 3. 6 An Illustrative Example 77 3. 7 Summary . . . . . . . . 79 4 Competitive Signal Clustering Networks 93 4. 1 Introduction. . 93 4. 2 Basic Structure 94 4. 3 Function Level Adaptation 96 4. 4 Parameter Level Adaptation . 101 4. 5 Structure Level Adaptation 104 4. 5. 1 Neuron Generation Process 107 4. 5. 2 Neuron Annihilation and Coalition Process 114 4. 5. 3 Structural Relation Adjustment. 116 4. 6 Implementation . . 119 4. 7 Simulation Results 122 4. 8 Summary . . . . . 134 5 Application Example: An Adaptive Neural Network Source Coder 135 5. 1 Introduction. . . . . . . . . . 135 5. 2 Vector Quantization Problem 136 5. 3 VQ Using Neural Network Paradigms 139 Vlll 5. 3. 1 Basic Properties . 140 5. 3. 2 Fast Codebook Search Procedure 141 5. 3. 3 Path Coding Method. . . . . . . 143 5. 3. 4 Performance Comparison . . . . 144 5. 3. 5 Adaptive SPAN Coder/Decoder 147 5. 4 Summary . . . . . . . . . . . . . . . . . 152 6 Conclusions 155 6. 1 Contributions 155 6. 2 Recommendations 157 A Mathematical Background 159 A. 1 Kolmogorov's Theorem . 160 A. 2 Networks with One Hidden Layer are Sufficient 161 B Fluctuated Distortion Measure 163 B. 1 Measure Construction . 163 B. 2 The Relation Between Fluctuation and Error 166 C SPAN Convergence Theory 171 C. 1 Asymptotic Value of Wi 172 C. 2 Energy Function . .

Competitively Inhibited Neural Networks for Adaptive Parameter Estimation

Author : Michael Lemmon
Publisher : Springer Science & Business Media
ISBN 13 : 1461540445
Total Pages : 146 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Competitively Inhibited Neural Networks for Adaptive Parameter Estimation by : Michael Lemmon

Download or read book Competitively Inhibited Neural Networks for Adaptive Parameter Estimation written by Michael Lemmon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is "good news" and "bad news" associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph.

Foundations and Tools for Neural Modeling

Author : Jose Mira
Publisher : Springer
ISBN 13 : 3540487719
Total Pages : 890 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Foundations and Tools for Neural Modeling by : Jose Mira

Download or read book Foundations and Tools for Neural Modeling written by Jose Mira and published by Springer. This book was released on 2006-12-08 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its compagnion LNCS 1607, the refereed proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 89 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to foundational issues of neural computation and tools for neural modeling. The papers are organized in parts on neural modeling: biophysical and structural models; plasticity phenomena: maturing, learning, and memory; and artificial intelligence and cognitive neuroscience.

Foundations and Tools for Neural Modeling

Author : Jose Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540660699
Total Pages : 900 pages
Book Rating : 4.6/5 (66 download)

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Book Synopsis Foundations and Tools for Neural Modeling by : Jose Mira

Download or read book Foundations and Tools for Neural Modeling written by Jose Mira and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial & Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed & selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation & implementation, image processing & engineering applications.

Analogical and Inductive Inference

Author : Klaus P. Jantke
Publisher : Springer Science & Business Media
ISBN 13 : 9783540517344
Total Pages : 356 pages
Book Rating : 4.5/5 (173 download)

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Book Synopsis Analogical and Inductive Inference by : Klaus P. Jantke

Download or read book Analogical and Inductive Inference written by Klaus P. Jantke and published by Springer Science & Business Media. This book was released on 1989-09-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In diesem Buch werden die wesentlichen Aspekte der in den letzten Jahren recht kontrovers geführten Diskussion über das Thema Krankheitsverarbeitung diskutiert. Mehrere Beiträge beschäftigen sich theoretisch und empirisch mit der Frage, ob es sinnvoll ist, Coping und Abwehr gegeneinander abzugrenzen. Ein Überblick über Meßverfahren zu Copingprozessen soll die Beurteilung von Ergebnissen erleichtern und bei der Planung und Durchführung von Untersuchungen zu diesem Thema behilflich sein. Empirische Ergebnisse bei verschiedenen Krankheitsbildern (Krebs, Herzinfarkt, chronische Niereninsuffizienz, Multiple Sklerose und Alkoholismus) und unter verschiedenen Fragestellungen demonstrieren Möglichkeiten und Grenzen unterschiedlicher methodischer Vorgehensweisen.

Cognitive Modeling

Author : Thad A. Polk
Publisher : MIT Press
ISBN 13 : 9780262661164
Total Pages : 1300 pages
Book Rating : 4.6/5 (611 download)

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Book Synopsis Cognitive Modeling by : Thad A. Polk

Download or read book Cognitive Modeling written by Thad A. Polk and published by MIT Press. This book was released on 2002 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the computational modeling of human cognition.

Trends in Applied Intelligent Systems

Author : Nicolás García-Pedrajas
Publisher : Springer
ISBN 13 : 3642130224
Total Pages : 802 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Trends in Applied Intelligent Systems by : Nicolás García-Pedrajas

Download or read book Trends in Applied Intelligent Systems written by Nicolás García-Pedrajas and published by Springer. This book was released on 2011-01-22 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The presentations of theinvitedspeakersandauthorsmainlyfocusedondevelopingandstudyingnew methods to cope with the problems posed by real-life applications of arti?cial intelligence.Paperspresentedinthetwentythirdconferenceintheseriescovered theories as well as applications of intelligent systems in solving complex real-life problems. We received 297 papers for the main track, selecting 119 of them with the highest quality standards. Each paper was revised by at least three members of the Program Committee.