Machine Learning: ECML-97 - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540628583, 9783540687085

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On prediction by data compression

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_69 ◽

1997 ◽

pp. 14-30 ◽

Author(s):

Paul Vitányi ◽

Ming Li

Keyword(s):

Data Compression

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Learning different types of new attributes by combining the neural network and iterative attribute construction

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_77 ◽

1997 ◽

pp. 124-137

Author(s):

Yuh-Jyh Hu

Keyword(s):

Neural Network ◽

The Neural Network ◽

Different Types ◽

Attribute Construction

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Exploiting qualitative knowledge to enhance skill acquisition

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_71 ◽

1997 ◽

pp. 49-56

Author(s):

Cristina Baroglio

Keyword(s):

Skill Acquisition ◽

Qualitative Knowledge

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Integrated learning and planning based on truncating temporal differences

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_72 ◽

1997 ◽

pp. 57-72

Author(s):

Paweł Cichosz

Keyword(s):

Integrated Learning ◽

Temporal Differences

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Parallel and distributed search for structure in multivariate time series

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_84 ◽

1997 ◽

pp. 191-198 ◽

Author(s):

Tim Oates ◽

Matthew D. Schmill ◽

Paul R. Cohen

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Distributed Search

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Induction of feature terms with INDIE

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_70 ◽

1997 ◽

pp. 31-48 ◽

Author(s):

Eva Armengol ◽

Enric Plaza

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Learning in dynamically changing domains: Theory revision and context dependence issues

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_99 ◽

1997 ◽

pp. 353-360 ◽

Author(s):

Charles Taylor ◽

Gholamreza Nakhaeizadeh

Keyword(s):

Context Dependence ◽

Theory Revision

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Inducing and using decision rules in the GRG knowledge discovery system

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_88 ◽

1997 ◽

pp. 234-241

Author(s):

Ning Shan ◽

Howard J. Hamilton ◽

Nick Cercone

Keyword(s):

Knowledge Discovery ◽

Decision Rules ◽

Discovery System

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Case-based learning: Beyond classification of feature vectors

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_96 ◽

1997 ◽

pp. 327-336 ◽

Author(s):

David W. Aha ◽

Dietrich Wettschereck

Keyword(s):

Feature Vectors ◽

Case Based Learning ◽

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Empirical learning of Natural Language Processing tasks

Machine Learning: ECML-97 - Lecture Notes in Computer Science ◽

10.1007/3-540-62858-4_97 ◽

1997 ◽

pp. 337-344 ◽

Author(s):

Walter Daelemans ◽

Antal Bosch ◽

Ton Weijters

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Empirical Learning

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