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Author:   Klaus P. Jantke ,  Takeshi Shinohara ,  Thomas Zeugmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1995 ed.
Volume:   997
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   1.070kg
ISBN:  

9783540604549

ISBN 10:   3540604545
Pages:   324
Publication Date:   05 October 1995
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Grammatical inference: An old and new paradigm.- Efficient learning of real time one-counter automata.- Learning strongly deterministic even linear languages from positive examples.- Language learning from membership queries and characteristic examples.- Learning unions of tree patterns using queries.- Inductive constraint logic.- Incremental learning of logic programs.- Learning orthogonal F-Horn formulas.- Learning nested differences in the presence of malicious noise.- Learning sparse linear combinations of basis functions over a finite domain.- Inferring a DNA sequence from erroneous copies (abstract).- Machine induction without revolutionary paradigm shifts.- Probabilistic language learning under monotonicity constraints.- Noisy inference and oracles.- Simulating teams with many conjectures.- Complexity of network training for classes of Neural Networks.- Learning ordered binary decision diagrams.- Simple PAC learning of simple decision lists.- The complexity of learning minor closed graph classes.- Technical and scientific issues of KDD (or: Is KDD a science?).- Analogical logic program synthesis algorithm that can refute inappropriate similarities.- Reflecting and self-confident inductive inference machines.- On approximately identifying concept classes in the limit.- Application of kolmogorov complexity to inductive inference with limited memory.

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