795 search results - page 12 / 159 » Feature Selection for Inductive Generalization |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
SGAI
2004
Springer
14 years 1 months ago
2004
Springer
In Wrapper based feature selection, the more states that are visited during the search phase of the algorithm the greater the likelihood of finding a feature subset that has a high...
IJCAI
2003
13 years 9 months ago
2003
Multi-view learners reduce the need for labeled data by exploiting disjoint sub-sets of features (views), each of which is sufficient for learning. Such algorithms assume that eac...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
ICML
2010
IEEE
13 years 9 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...