962 search results - page 96 / 193 » Toward Optimal Feature Selection |
136
click to vote
ECML
2007
Springer
15 years 9 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
140
Voted
ESWA
2006
15 years 3 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
129
Voted
JIPS
2007
15 years 3 months ago
2007
In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naïve Bayesian classification algorithms. The architecture of our s...
143
Voted
JMLR
2010
14 years 10 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
120
Voted
TSMC
2011
14 years 10 months ago
2011
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...