Learning Without Negative Examples Via Variable Valued Logic Characterizations
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Learning Without Negative Examples Via Variable Valued Logic Characterizations
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Author : Alexander Lewis Hilleary
language : en
Publisher:
Release Date : 1979
Learning Without Negative Examples Via Variable Valued Logic Characterizations written by Alexander Lewis Hilleary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with AQ7UNI categories.
Learning Without Negative Examples Via Variable Valued Logic Characterizations
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Author : Robert Stepp
language : en
Publisher:
Release Date : 1979
Learning Without Negative Examples Via Variable Valued Logic Characterizations written by Robert Stepp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with AQ7UNI. categories.
Machine Learning
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Author : R.S. Michalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Machine Learning written by R.S. Michalski 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 2013-04-17 with Computers categories.
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.
Machine Learning
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Author : Ryszard S. Michalski
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Machine Learning written by Ryszard S. Michalski and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.
The Uniclass Inductive Program Aq7uni
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Author : Robert Stepp
language : en
Publisher:
Release Date : 1979
The Uniclass Inductive Program Aq7uni written by Robert Stepp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with AQ7UNI. categories.
Learning Without Negative Examples Via Variable Valued Logic Characterizations
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Author : Alexander Lewis Hilleary
language : en
Publisher:
Release Date : 1979
Learning Without Negative Examples Via Variable Valued Logic Characterizations written by Alexander Lewis Hilleary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with AQ7UNI categories.
Concept Based Clustering Versus Numerical Taxonomy
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Author : Ryszard Stanisław Michalski
language : en
Publisher:
Release Date : 1981
Concept Based Clustering Versus Numerical Taxonomy written by Ryszard Stanisław Michalski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Cluster analysis categories.
Knowledge Acquisition Through Conceptual Clustering
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Author : Ryszard Stanisław Michalski
language : en
Publisher:
Release Date : 1980
Knowledge Acquisition Through Conceptual Clustering written by Ryszard Stanisław Michalski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Cluster analysis categories.
Learning And Generalization Of Structural Descriptions
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Author : Thomas Glenn Dietterich
language : en
Publisher:
Release Date : 1980
Learning And Generalization Of Structural Descriptions written by Thomas Glenn Dietterich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Artificial intelligence categories.
Concept Formation
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Author : Douglas H. Fisher
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12
Concept Formation written by Douglas H. Fisher and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.
Concept Formation: Knowledge and Experience in Unsupervised Learning presents the interdisciplinary interaction between machine learning and cognitive psychology on unsupervised incremental methods. This book focuses on measures of similarity, strategies for robust incremental learning, and the psychological consistency of various approaches. Organized into three parts encompassing 15 chapters, this book begins with an overview of inductive concept learning in machine learning and psychology, with emphasis on issues that distinguish concept formation from more prevalent supervised methods and from numeric and conceptual clustering. This text then describes the cognitive consistency of two concept formation systems that are motivated by a rational analysis of human behavior relative to a variety of psychological phenomena. Other chapters consider the merits of various schemes for representing and acquiring knowledge during concept formation. This book discusses as well the earliest work in concept formation. The final chapter deals with acquisition of quantity conservation in developmental psychology. This book is a valuable resource for psychologists and cognitive scientists.