Machine Learning: A Multistrategy ApproachRyszard S. Michalski, Ryszard Stanisław Michalski, Gheorghe Tecuci, Jaime Guillermo Carbonell, Yves Kodratoff, Tom Michael Mitchell Morgan Kaufmann, 1994 - 782 Seiten Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area. See below for earlier volumes in the series. |
Was andere dazu sagen - Rezension schreiben
Es wurden keine Rezensionen gefunden.
Inhalt
| 63 | |
| 85 | |
An InferenceBased Framework | 107 |
A Multistrategy Approach to Theory Refinement | 141 |
Theory Completion Using Knowledgebased Learning | 165 |
An Integration of Analytical | 189 |
Theory Revision by Analyzing Explanations | 217 |
Interactive Theory Revision | 239 |
Improving a Rule Induction System | 453 |
Multistrategy Learning from Engineering Data | 471 |
Comparing Symbolic | 489 |
PART FIVE SPECIAL TOPICS AND APPLICATIONS | 521 |
Evolutionary Approaches | 549 |
Experiencebased Adaptive Search | 579 |
A Multistrategy Approach | 605 |
A Learning Computer Vision System | 621 |
PART THREE COOPERATIVE INTEGRATION | 265 |
Balanced Cooperative Modeling | 295 |
A System That Learns Using Causal Models | 319 |
Introspective Reasoning Using MetaExplanations | 349 |
Macro and Micro Perspectives | 379 |
PART FOUR SYMBOLIC AND SUBSYMBOLIC LEARNING | 403 |
Learning Graded Concept Descriptions | 431 |
Learning with a Qualitative Domain Theory | 635 |
Bibliography of Multistrategy Learning Research | 657 |
About the Authors | 731 |
Author Index | 743 |
Subject Index | 757 |
Andere Ausgaben - Alle anzeigen
Machine Learning: An Artificial Intelligence Approach R.S. Michalski,J.G. Carbonell,T.M. Mitchell Eingeschränkte Leseprobe - 2013 |
Machine Learning: An Artificial Intelligence Approach, Band 1 Ryszard S. Michalski,Jaime G. Carbonell,Tom M. Mitchell Eingeschränkte Leseprobe - 2014 |
Machine Learning: An Artificial Intelligence Approach, Band 2 Ryszard S. Michalski,Jaime Guillermo Carbonell,Tom Michael Mitchell Eingeschränkte Leseprobe - 1986 |
Häufige Begriffe und Wortgruppen
AAAI Press abduction abstraction analogy applied Artificial Intelligence Artificial Intelligence Approach attributes background knowledge Bergadano Carbonell causal causal patterns classification clause CLINT complex Computer Science concept descriptions Conceptual Clustering constraints constructive induction CTDL decision tree deductive described Dietterich disjunct domain theory evaluation experiments explanation Explanation-Based Learning Figure Gemini Genetic Algorithms George Mason University goal graph Harpers Ferry heuristics hypothesis inductive learning inference instance integrated justification tree knowledge base knowledge representation Kodratoff learning methods learning strategies learning system logic Machine Learning match Menlo Park Meta-XP Michalski and G Mooney Morgan Kaufmann Multistrategy Approach multistrategy learning negative examples neural networks node output Pazzani performance plausible positive examples predicates problem Proceedings R-complexity R.S. Michalski reasoning representation represented rule induction San Mateo selected similar specific structure subgoal subset symbolic Talespin techniques Tecuci Eds theory revision tion training examples transmutations Wnek Workshop on Machine
Verweise auf dieses Buch
Scientific Discovery: Computational Explorations of the Creative Processes Pat Langley Eingeschränkte Leseprobe - 1987 |
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence Gerhard Weiss Eingeschränkte Leseprobe - 1999 |
Bibliografische Informationen
| Titel | Machine Learning: A Multistrategy Approach Band 4 von Machine Learning, Ryszard Stanisław Michalski Band 4 von Machine Learning, a Multistrategy Approach, Ryszard Stanisław Michalski Band 4 von Machine Learning: An Artificial Intelligence Approach, Jaime Guillermo Carbonell |
| Herausgeber | Ryszard S. Michalski, Ryszard Stanisław Michalski, Gheorghe Tecuci, Jaime Guillermo Carbonell, Yves Kodratoff, Tom Michael Mitchell |
| Mitwirkende | John Robert Anderson, Jerzy W. Bala |
| Ausgabe | Neuauflage, überarbeitet |
| Verlag | Morgan Kaufmann, 1994 |
| ISBN | 1558602518, 9781558602519 |
| Länge | 782 Seiten |
| Zitat exportieren | BiBTeX EndNote RefMan |