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Algorithmic Learning for Knowledge-Based Systems
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Algorithmic Learning for Knowledge-Based Systems - nuovo livro

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… mais…

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

Algorithmic Learning for Knowledge-Based Systems - primeira edição

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) - Livro de bolso

1995

ISBN: 9783540602170

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Algorithmic Learning for Knowledge-Based Systems - 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… mais…

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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) - Livro de bolso

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,… mais…

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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.

Dados detalhados do livro - Algorithmic Learning for Knowledge-Based Systems


EAN (ISBN-13): 9783540602170
ISBN (ISBN-10): 3540602178
Livro de capa dura
Livro de bolso
Ano de publicação: 1995
Editor/Editora: Springer Berlin Heidelberg
532 Páginas
Peso: 0,795 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-05-27T11:42:10-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-04-11T10:55:35-03:00 (Sao Paulo)
Número ISBN/EAN: 9783540602170

Número ISBN - Ortografia alternativa:
3-540-60217-8, 978-3-540-60217-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lange klaus, lang, aran, steffen
Título do livro: final report, algorithmic, goßler, lecture notes artificial intelligence, artificial intelligence systems, lecture notes computer science, knowledge learning

Dados da editora

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
Editora: Springer; Springer Berlin
522 Páginas
Ano de publicação: 1995-08-09
Berlin; Heidelberg; DE
Língua: Inglês
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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