522 search results - page 14 / 105 » Feature selection for ranking using boosted trees |
ECIR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
ICMCS
2005
IEEE
15 years 5 months ago
2005
IEEE
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
EWCBR
2004
Springer
15 years 5 months ago
2004
Springer
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
WWW
2008
ACM
16 years 11 days ago
2008
ACM
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...