Computational Learning Theory And Natural Learning Systems Vol Iii

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Computational Learning Theory And Natural Learning Systems
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Author : Stephen José Hanson
language : en
Publisher:
Release Date : 1995
Computational Learning Theory And Natural Learning Systems written by Stephen José Hanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computational learning theory categories.
Computational Learning Theory And Natural Learning Systems Vol Iii
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Author : Thomas Petsche
language : en
Publisher:
Release Date : 1995
Computational Learning Theory And Natural Learning Systems Vol Iii written by Thomas Petsche and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Computational Learning Theory
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Author : Shai Ben-David
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-03-03
Computational Learning Theory written by Shai Ben-David and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-03-03 with Computers categories.
Content Description #Includes bibliographical references and index.
Genetic Programming Iii
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Author : John R. Koza
language : en
Publisher: Morgan Kaufmann
Release Date : 1999
Genetic Programming Iii written by John R. Koza and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.
Distributed Sensor Networks
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Author : S. Sitharama Iyengar
language : en
Publisher: CRC Press
Release Date : 2022-06-01
Distributed Sensor Networks written by S. Sitharama Iyengar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.This two volume set, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications. Volume 1 Image and Sensor Signal Processing includes: Distributed Sensing and Signal Processing; Information Fusion; and Power Management. Volume 2 Sensor Networking and Applications includes: Sensor Deployment; Adaptive Tasking; Self-Configuration; System Control; and Engineering Examples.
Ecai 2000
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Author : European Coordinating Committee for Artificial Intelligence
language : en
Publisher: IOS Press
Release Date : 2000
Ecai 2000 written by European Coordinating Committee for Artificial Intelligence and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
This volume covers the whole spectrum of artificial intelligence, including: knowledge representation, automated reasoning, constraint-based reasoning, machine learning, autonomous agents, human language technology, planning, vision and robotics, and AI aspects of uncertainty and of creativity. The book further includes contributions on innovative application. All contributions are peer reviewed by an international Programme Committee.
Abduction And Induction
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Author : P.A. Flach
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18
Abduction And Induction written by P.A. Flach and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-18 with Mathematics categories.
From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which we now call abduction and induction. Deduction is now fairly well understood, but abduction and induction have eluded a similar level of understanding. The papers collected here address the relationship between abduction and induction and their possible integration. The approach is sometimes philosophical, sometimes that of pure logic, and some papers adopt the more task-oriented approach of AI. The book will command the attention of philosophers, logicians, AI researchers and computer scientists in general.
Goal Driven Learning
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Author : Ashwin Ram
language : en
Publisher: MIT Press
Release Date : 1995
Goal Driven Learning written by Ashwin Ram and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book
Proceedings Of The 1995 World Congress On Neural Networks
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Author : Joseph T. DeWitte
language : en
Publisher: Routledge
Release Date : 2019-02-21
Proceedings Of The 1995 World Congress On Neural Networks written by Joseph T. DeWitte and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Psychology categories.
Centered around major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Knowledge Discovery And Data Mining Current Issues And New Applications
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Author : Takao Terano
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-13
Knowledge Discovery And Data Mining Current Issues And New Applications written by Takao Terano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-13 with Computers categories.
The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and applica tion developers to share their original research results and practical development experiences. A wide range of current KDD topics were covered including ma chine learning, databases, statistics, knowledge acquisition, data visualization, knowledge-based systems, soft computing, and high performance computing. It followed the success of PAKDD 97 in Singapore, PAKDD 98 in Austraha, and PAKDD 99 in China by bringing together participants from universities, indus try, and government from all over the world to exchange problems and challenges and to disseminate the recently developed KDD techniques. This PAKDD 2000 proceedings volume addresses both current issues and novel approaches in regards to theory, methodology, and real world application. The technical sessions were organized according to subtopics such as Data Mining Theory, Feature Selection and Transformation, Clustering, Application of Data Mining, Association Rules, Induction, Text Mining, Web and Graph Mining. Of the 116 worldwide submissions, 33 regular papers and 16 short papers were accepted for presentation at the conference and included in this volume. Each submission was critically reviewed by two to four program committee members based on their relevance, originality, quality, and clarity.