616 search results - page 16 / 124 » Feature selection through gravitational search algorithm |
SAC
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
SEBD
2008
14 years 11 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
MICAI
2007
Springer
15 years 3 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...