225 search results - page 13 / 45 » Feature selection is the ReliefF for multiple instance learn... |
107
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
70
Voted
EVOW
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
82
Voted
KDD
2006
ACM
15 years 10 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
99
Voted
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...