395 search results - page 24 / 79 » Learning to rank with partially-labeled data |
ICALT
2010
IEEE
15 years 12 days ago
2010
IEEE
—This paper introduces new metrics for course evaluation. It is also proposes a ranking algorithm that classifies courses based on the previous course evaluation metrics and sugg...
107
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KDD
2006
ACM
16 years 2 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...
107
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DMIN
2009
14 years 11 months ago
2009
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
100
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MEDES
2009
ACM
15 years 6 months ago
2009
ACM
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned...
118
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...