864 search results - page 38 / 173 » The Feature Importance Ranking Measure |
77
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
132
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BMCBI
2006
14 years 9 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
61
Voted
WWW
2008
ACM
15 years 10 months ago
2008
ACM
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...