Machine learning: an artificial intelligence approachTioga Pub. Co., 1983 - 572 Seiten |
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LibraryThing Review
Nutzerbericht - IvanIdris - LibraryThingThis is an introductory book on Machine Learning. There is quite a lot of mathematics and statistics in the book, which I like. A large number of methods and algorithms are introduced: Neural Networks ... Vollständige Rezension lesen
Review: Machine Learning
Nutzerbericht - Rodrigo Rivera - GoodreadsA real classic. Sadly, this book is already quite old. An updated edition would be greatly welcomed. Vollständige Rezension lesen
Inhalt
Why Should Machines Learn? | 25 |
PART TWO LEARNING FROM EXAMPLES | 39 |
A Theory and Methodology of Inductive | 83 |
Urheberrecht | |
15 weitere Abschnitte werden nicht angezeigt.
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 |
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ADDSUB algorithm analogy analysis applied Artificial Intelligence attributes BACON.4 Carbonell CARDS-PLAYED1 Carnegie-Mellon University Chapter clustering Cognitive complex components Computer Science concept description conceptual clustering condition Conference on Artificial conjunctive constraints criterion decision tree defined DENDRAL described descriptors discovery disjunction domain EURISKO evaluation example experience Expert Systems expression Figure function given goal Hayes-Roth heuristic search heuristics hypotheses inductive assertions Inductive Inference inductive learning interact International Joint Conference knowledge acquisition LAMBDA language learning systems Lenat logic machine learning mal-rules match means-ends analysis methods Michalski models MULT NANOKLAUS nodes objects operators path Pattern Recognition player predicate predicate calculus Problem Solver problem-solving procedure production properties queen of spades representation rules satisfied schema selected selectors sequence situations slot solution SOLVE FIN2 specific structure taking points task Technical Report theory tion training instances transformation trick University values variables version space
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Bibliografische Informationen
| Titel | Machine learning: an artificial intelligence approach Band 1 von Machine Learning, Ryszard Stanisław Michalski Machine Learning: An Artificial Intelligence Approach, Jaime Guillermo Carbonell |
| Autoren | John Robert Anderson, Ryszard Stanisław Michalski, Jaime Guillermo Carbonell |
| Herausgeber | Ryszard Stanisław Michalski, Jaime Guillermo Carbonell, Tom Michael Mitchell |
| Ausgabe | illustriert, Neuauflage |
| Verlag | Tioga Pub. Co., 1983 |
| Original von | University of Michigan |
| Digitalisiert | 15. Nov. 2007 |
| ISBN | 0935382054, 9780935382051 |
| Länge | 572 Seiten |
| Zitat exportieren | BiBTeX EndNote RefMan |