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» Bootstrapping Rule Induction
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IJAR
2008
82views more  IJAR 2008»
13 years 10 months ago
Probabilistic rough set approximations
This paper reviews probabilistic approaches to rough sets in granulation, approximation, and rule induction. The Shannon entropy function is used to quantitatively characterize pa...
Yiyu Yao
IJCAI
1993
13 years 11 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
14 years 2 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
FUIN
2002
132views more  FUIN 2002»
13 years 10 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
IJCNLP
2005
Springer
14 years 3 months ago
Automatic Partial Parsing Rule Acquisition Using Decision Tree Induction
Abstract. Partial parsing techniques try to recover syntactic information efficiently and reliably by sacrificing completeness and depth of analysis. One of the difficulties of pa...
Myung-Seok Choi, Chul Su Lim, Key-Sun Choi