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» Exception Dags as Knowledge Structures
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KDD
1994
ACM
116views Data Mining» more  KDD 1994»
13 years 9 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
COLING
1996
13 years 6 months ago
FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
Finn Dag Buø, Alex Waibel
ECAI
2010
Springer
13 years 5 months ago
Knowledge Compilation Using Interval Automata and Applications to Planning
Knowledge compilation [6, 5, 14, 8] consists in transforming a problem offline into a form which is tractable online. In this paper, we introduce new structures, based on the notio...
Alexandre Niveau, Hélène Fargier, C&...
KDD
1995
ACM
106views Data Mining» more  KDD 1995»
13 years 9 months ago
Structured and Unstructured Induction with EDAGs
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...
Brian R. Gaines
FLAIRS
2001
13 years 6 months ago
Skill Refinement through Competence Feedback
Learningis generally performedin twostages, knowledge acquisition and skill refinement. Developments within machinelearning havetended to concentrate on knowledgeacquisition as op...
David W. Patterson, Sarabjot S. Anand, John G. Hug...