Algorithmic Learning Theory (Record no. 35935)

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fixed length control field 05426nam a22004935i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783540490302
-- 978-3-540-49030-2
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.131
245 10 - TITLE STATEMENT
Title Algorithmic Learning Theory
Sub Title 4th International Workshop on Analogical and Inductive Inference, AII '94 5th International Workshop on Algorithmic Learning Theory, ALT '94 Reinhardsbrunn Castle, Germany October 10–15, 1994 Proceedings /
Statement of responsibility, etc edited by Setsuo Arikawa, Klaus P. Jantke.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Berlin, Heidelberg :
Name of publisher Springer Berlin Heidelberg,
Year of publication 1994.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 581 p.
Other physical details online resource.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Towards efficient inductive synthesis from input/output examples -- Deductive plan generation -- From specifications to programs: Induction in the service of synthesis -- Average case analysis of pattern language learning algorithms -- Enumerable classes of total recursive functions: Complexity of inductive inference -- Derived sets and inductive inference -- Therapy plan generation as program synthesis -- A calculus for logical clustering -- Learning with higher order additional information -- Efficient learning of regular expressions from good examples -- Identifying nearly minimal Gödel numbers from additional information -- Co-learnability and FIN-identifiability of enumerable classes of total recursive functions -- On case-based represent ability and learnability of languages -- Rule-generating abduction for recursive prolog -- Fuzzy analogy based reasoning and classification of fuzzy analogies -- Explanation-based reuse of prolog programs -- Constructive induction for recursive programs -- Training digraphs -- Towards realistic theories of learning -- A unified approach to inductive logic and case-based reasoning -- Three decades of team learning -- On-line learning with malicious noise and the closure algorithm -- Learnability with restricted focus of attention guarantees noise-tolerance -- Efficient algorithm for learning simple regular expressions from noisy examples -- A note on learning DNF formulas using equivalence and incomplete membership queries -- Identifying regular languages over partially-commutative monoids -- Classification using information -- Learning from examples with typed equational programming -- Finding tree patterns consistent with positive and negative examples using queries -- Program synthesis in the presence of infinite number of inaccuracies -- On monotonic strategies for learning r.e. languages -- Language learning under various types of constraint combinations -- Synthesis algorithm for recursive processes by ?-calculus -- Monotonicity versus efficiency for learning languages from texts -- Learning concatenations of locally testable languages from positive data -- Language learning from good examples -- Machine discovery in the presence of incomplete or ambiguous data -- Set-driven and rearrangement-independent learning of recursive languages -- Refutably probably approximately correct learning -- Inductive inference of an approximate concept from positive data -- Efficient distribution-free population learning of simple concepts -- Constructing predicate mappings for Goal-Dependent Abstraction -- Learning languages by collecting cases and tuning parameters -- Mutual information gaining algorithm and its relation to PAC-learning algorithm -- Inductive inference of monogenic pure context-free languages.
520 ## - SUMMARY, ETC.
Summary, etc This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical Logic and Formal Languages.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Arikawa, Setsuo.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jantke, Klaus P.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/3-540-58520-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-BOOKS
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 1994.
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-- online resource
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830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 0302-9743 ;
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Accession Number Uniform Resource Identifier Koha item type
        IMSc Library EBK6641 http://dx.doi.org/10.1007/3-540-58520-6 E-BOOKS
The Institute of Mathematical Sciences, Chennai, India

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