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ICTAI
1992
IEEE
15 years 2 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
CEC
2007
IEEE
15 years 1 months ago
Self-Adaptive Niching CMA-ES with Mahalanobis Metric
Existing niching techniques commonly use the Euclidean distance metric in the decision space for the classification of feasible solutions to the niches under formation. This approa...
Ofer M. Shir, Michael Emmerich, Thomas Bäck
ICML
2010
IEEE
14 years 11 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
ML
2006
ACM
132views Machine Learning» more  ML 2006»
14 years 10 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
SIAMREV
2010
181views more  SIAMREV 2010»
14 years 4 months ago
A Variational Approach to Copositive Matrices
This work surveys essential properties of the so-called copositive matrices, the study of which is spread over more than fifty-five years. Special emphasis is given to variational ...
Jean-Baptiste Hiriart-Urruty, Alberto Seeger