1306 search results - page 29 / 262 » Unsupervised feature selection using a neuro-fuzzy approach |
ACIVS
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
CBMS
2009
IEEE
15 years 6 months ago
2009
IEEE
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
122
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EMNLP
2011
13 years 11 months ago
2011
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
101
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
GECCO
2008
Springer
15 years 26 days ago
2008
Springer
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...