Machine Learning: An Artificial Intelligence Approach, Band 3Yves Kodratoff, Ryszard S. Michalski, Ryszard Stanisław Michalski, Jaime Guillermo Carbonell, Tom Michael Mitchell Morgan Kaufmann, 1990 - 825 Seiten One of the largest and most active areas of AI, machine learning is of interest to students of psychology, philosophy of science, and education. Although self-contained, volume III follows the tradition of volume I (1983) and volume II (1986). Annotation copyrighted by Book News, Inc., Portland, OR |
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Inhalt
| 31 | |
| 49 | |
| 61 | |
E Stepp | 103 |
An ExemplarBased Learning | 114 |
Probabilistic Decision Trees | 142 |
Integrating Quantitative and Qualitative | 153 |
The Operator | 191 |
PART FOUR INTEGRATED LEARNING SYSTEMS | 397 |
Rendell | 423 |
Guiding Induction with Domain Theories | 474 |
Knowledge Base Refinement as Improving | 493 |
Apprenticeship Learning in Imperfect | 514 |
PART FIVE SUBSYMBOLIC AND HETEROGENOUS | 553 |
GeneticAlgorithmbased Learning | 611 |
Applying Valiants Learning Framework | 641 |
Learning Fault Diagnosis Heuristics from | 214 |
PART THREE ANALYTICAL LEARNING METHODS | 269 |
Acquiring General Iterative Concepts | 302 |
Discovering Algorithms from Weak | 351 |
A System that Learns Using | 360 |
Conditional Operationality | 383 |
A New Approach to Unsupervised Learning | 670 |
Bibliography of Recent Machine Learning Research 19851989 | 685 |
About the Authors | 790 |
Subject Index | 807 |
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
6th International Workshop applied Artificial Intelligence Artificial Intelligence Approach atom attributes background knowledge BAGGER classification complex Computational Learning Theory Computer Science concept description conceptual clustering Conference on Artificial connectionist construct decision tree defined DeJong described domain knowledge domain theory equation exemplar experiments expert system explanation Explanation-Based Learning Figure function Genetic Algorithms George Mason University goal heuristic hidden units hypothesis space implementation inductive learning inference rules input vector International Conference International Machine Learning Ithaca Knowledge Acquisition knowledge base Knowledge Representation knowledge-based Kodratoff learning procedure learning systems Machine Learning Workshop matching Morgan Kaufmann negative examples nodes objects operationality operators output units performance preconditions predicate problem solving Proceedings of IJCAI-89 proof Protos representation San Mateo Schank strategy structure techniques theorem tion training examples tuples University values variables version space weights Workshop on Knowledge Workshop on Machine
Verweise auf dieses Buch
Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing 1995 N. J. I. Mars Eingeschränkte Leseprobe - 1995 |
Artificial Intelligence: Structures and Strategies for Complex Problem Solving George F. Luger Keine Leseprobe verfügbar - 2005 |
