877 search results - page 2 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
IEEECIT
2007
IEEE
13 years 11 months ago
2007
IEEE
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
PAMI
2010
13 years 3 months ago
2010
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
SAC
2006
ACM
13 years 11 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...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...