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» Bootstrapping Rule Induction
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ECML
2006
Springer
14 years 1 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
MPC
2010
Springer
159views Mathematics» more  MPC 2010»
14 years 3 months ago
Subtyping, Declaratively
Abstract. It is natural to present subtyping for recursive types coinductively. However, Gapeyev, Levin and Pierce have noted that there is a problem with coinductive definitions ...
Nils Anders Danielsson, Thorsten Altenkirch
JSAI
2001
Springer
14 years 2 months ago
Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model
: The cascade model is a rule induction methodology that uses level-wise expansion of a lattice. An attribute-value pair is expressed as an item, and every node in the lattice is s...
Takashi Okada
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
14 years 2 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
IPPS
2000
IEEE
14 years 2 months ago
The Parallelization of a Knowledge Discovery System with Hypergraph Representation
Abstract. Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDEDpronounced indee...
Jennifer Seitzer, James P. Buckley, Yi Pan, Lee A....