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Algorithmic Learning for Knowledge-Based Systems
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ISBN: 9783540602170

This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for knowledge-based systems supported by the German Federal Ministry of Resea… Más…

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Algorithmic Learning for Knowledge-Based Systems - Jantke, Klaus P. Lange, Steffen
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Jantke, Klaus P. Lange, Steffen:

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1995, ISBN: 9783540602170

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Klaus P. Jantke, Steffen Lange:
Algorithmic Learning for Knowledge-Based Systems: GOSLER Final Report (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 961) - Pasta blanda

1995

ISBN: 9783540602170

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Algorithmic Learning for Knowledge-Based Systems - Klaus P. Jantke/ Steffen Lange
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Klaus P. Jantke/ Steffen Lange:
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ISBN: 9783540602170

*Algorithmic Learning for Knowledge-Based Systems* - GOSLER Final Report. Auflage 1995 / Taschenbuch für 53.49 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher n… Más…

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Jantke, Klaus P. [Editor]; Lange, Steffen [Editor];:
Algorithmic Learning for Knowledge-Based Systems: GOSLER Final Report (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - Pasta blanda

1995, ISBN: 9783540602170

Springer, 1995-08-09. Paperback. Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding., Springer,… Más…

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Algorithmic Learning for Knowledge-Based Systems
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9783540602170


This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for knowledge-based systems supported by the German Federal Ministry of Research and Technology during the years 1991 - 1994. This research effort was focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation.The contributions by 11 participants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.

Detalles del libro - Algorithmic Learning for Knowledge-Based Systems


EAN (ISBN-13): 9783540602170
ISBN (ISBN-10): 3540602178
Tapa dura
Tapa blanda
Año de publicación: 1995
Editorial: Springer Berlin Heidelberg
532 Páginas
Peso: 0,795 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-05-27T16:42:10+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-04-11T15:55:35+02:00 (Madrid)
ISBN/EAN: 9783540602170

ISBN - escritura alterna:
3-540-60217-8, 978-3-540-60217-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: lange klaus, lang, aran, steffen
Título del libro: final report, algorithmic, goßler, lecture notes artificial intelligence, artificial intelligence systems, lecture notes computer science, knowledge learning

Datos del la editorial

Autor: Klaus P. Jantke; Steffen Lange
Título: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Algorithmic Learning for Knowledge-Based Systems - GOSLER Final Report
Editorial: Springer; Springer Berlin
522 Páginas
Año de publicación: 1995-08-09
Berlin; Heidelberg; DE
Idioma: Inglés
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 522 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Algorithmic Learning; Formal Languages; Indcutive Inference; Induktives Schließen; Machine Learning; Wissensbasierte Systeme; algorithmic learning theory; algorithms; classification; formal language; knowledge-based systems; learning; learning theory; optimization; programming; Theory of Computation; Artificial Intelligence; Formal Languages and Automata Theory; Künstliche Intelligenz; EA

Learning and consistency.- Error detecting in inductive inference.- Learning from good examples.- Towards reduction arguments for FINite learning.- Not-so-nearly-minimal-size program inference (preliminary report).- Optimization problem in inductive inference.- On identification by teams and probabilistic machines.- Topological considerations in composing teams of learning machines.- Probabilistic versus deterministic memory limited learning.- Classification using information.- Classifying recursive predicates and languages.- A guided tour across the boundaries of learning recursive languages.- Pattern inference.- Inductive learning of recurrence-term languages from positive data.- Learning formal languages based on control sets.- Learning in case-based classification algorithms.- Optimal strategies — Learning from examples — Boolean equations.- Feature construction during tree learning.- On lower bounds for the depth of threshold circuits with weights from {?1,0,+1}.- Structuring neural networks and PAC-Learning.- Inductive synthesis of rewrite programs.- TLPS — A term rewriting laboratory (not only) for experiments in automatic program synthesis.- GoslerP — A logic programming tool for inductive inference.
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