2395 search results - page 1 / 479 » A selective sampling approach to active feature selection |
AI
2004
Springer
13 years 4 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
ACL
2008
13 years 5 months ago
2008
This paper introduces a new method for identifying named-entity (NE) transliterations within bilingual corpora. Current state-of-theart approaches usually require annotated data a...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...