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CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
15 years 6 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
COMBINATORICS
2000
84views more  COMBINATORICS 2000»
15 years 6 months ago
A Note on the Asymptotic Behavior of the Heights in b-Tries for b Large
We study the limiting distribution of the height in a generalized trie in which external nodes are capable to store up to b items (the so called b-tries). We assume that such a tr...
Charles Knessl, Wojciech Szpankowski
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
ML
2002
ACM
127views Machine Learning» more  ML 2002»
15 years 6 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
SIAMCOMP
2002
112views more  SIAMCOMP 2002»
15 years 6 months ago
The Efficiency of Resolution and Davis--Putnam Procedures
We consider several problems related to the use of resolution-based methods for determining whether a given boolean formula in conjunctive normal form is satisfiable. First, build...
Paul Beame, Richard M. Karp, Toniann Pitassi, Mich...