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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 6 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
CSL
2007
Springer
14 years 26 days ago
From Proofs to Focused Proofs: A Modular Proof of Focalization in Linear Logic
Abstract. Probably the most significant result concerning cut-free sequent calculus proofs in linear logic is the completeness of focused proofs. This completeness theorem has a n...
Dale Miller, Alexis Saurin
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
13 years 12 months ago
Limits in Long Path Learning with XCS
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Alwyn Barry
PADL
2012
Springer
12 years 2 months ago
Typing the Numeric Tower
In the past, the creators of numerical programs had to choose between simple expression of mathematical formulas and static type checking. While the Lisp family and its dynamically...
Vincent St-Amour, Sam Tobin-Hochstadt, Matthew Fla...
BMCBI
2006
166views more  BMCBI 2006»
13 years 6 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...