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Algorithmic learning theory : 6th international workshop, ALT '95, Fukuoka, Japan, October 18-20, 1995 : proceedings

Author: K P Jantke; Takeshi Shinohara; Thomas Zeugmann
Publisher: Berlin ; New York : Springer, ©1995.
Series: Lecture notes in computer science, 997.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
This book constitutes the refereed proceedings of the 6th International Workshop on Algorithmic Learning Theory, ALT '95, held in Fukuoka, Japan, in October 1995. The book contains 21 revised full papers selected from 46 submissions together with three invited contributions. It covers all current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
ALT '95 (1995 : Fukuoka-shi, Japan).
Algorithmic learning theory.
Berlin ; New York : Springer, ©1995
(DLC) 95040071
(OCoLC)33244018
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: K P Jantke; Takeshi Shinohara; Thomas Zeugmann
ISBN: 9783540474708 3540474706
OCLC Number: 326703978
Description: 1 online resource (xv, 318 pages) : illustrations.
Contents: Grammatical inference : an old and new paradigm (invited lecture) / Yasubumi Sakakibara --
Efficient learning of real time one-counter automata / A.F. Fahmy and R. Roos --
Learning strongly deterministic even linear languages from positive examples / T. Koshiba, E. Mäkinen and Y. Takada --
Language learning from membership queries and characteristic examples / H. Sakamoto --
Learning unions of tree patterns using queries / H. Arimura, H. Ishizaka and T. Shinohara --
Inductive constraint logic / L. De Raedt and W. Van Laer --
Incremental learning of logic programs / M.R.K.K. Rao --
Learning orthogonal F-Horn formulas / A. Miyashiro [and others] --
Learning nested differences in the presence of malicious noise / P. Auer --
Learning sparse linear combinations of basis functions over a finite domain / A. Nakamura and S. Miura --
Inferring a DNA sequence from erroneous copies (invited lecture) / John Kececioglu, Ming Li and John Tromp --
Machine induction without revolutionary paradigm shifts / J. Case, S. Jain and A. Sharma --
Probabilistic language learning under monotonicity constraints / L. Meyer --
Noisy inference and oracles / F. Stephan --
Simulating teams with many conjectures / B. Kalyanasundaram and M. Velauthapillai --
Complexity of network training for classes of neural networks / C.C. Pinter --
Learning ordered binary decision diagrams / R. Gavaldà and D. Guijarro --
Simple PAC learning of simple decision lists / J. Castro and J.L. Balcázar --
The complexity of learning minor closed graph classes / C. Domingo and J. Shawe-Taylor --
Technical and scientific issues of KDD (Invited lecture) / Yves Kodratoff --
Analogical logic program synthesis algorithm that can refute inappropriate similarities / K. Sadohara and M. Haraguchi --
Reflecting and self-confident inductive inference machines / K.P. Jantke --
On approximately identifying concept classes in the limit / S. Kobayashi and T. Yokomori --
Application of Kolmogorov complexity to inductive inference with limited memory / A. Ambainis.
Series Title: Lecture notes in computer science, 997.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Other Titles: ALT '95
Responsibility: Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann (eds.).

Abstract:

These conference proceedings cover current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational logic  Read more...

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