775 search results - page 51 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
In many Earth observation missions, a large amount of data is collected by the on-board sensors, and must be transmitted to ground through a channel with limited capacity; in this...
IPMU
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
DEXA
2003
Springer
14 years 26 days ago
2003
Springer
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplici...