3467 search results - page 53 / 694 » Non-monotonic feature selection |
SAC
2006
ACM
14 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...
EUROCAST
2003
Springer
14 years 2 months ago
2003
Springer
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
ALGORITHMICA
2006
13 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
WEBI
2009
Springer
14 years 3 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...