861 search results - page 1 / 173 » Towards feature selection in network |
88
Voted
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
CIKM
2010
Springer
14 years 6 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
82
Voted
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
110
Voted
LREC
2008
14 years 11 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
71
Voted
ICSOFT
2008
14 years 11 months ago
2008
