522 search results - page 40 / 105 » Feature selection for ranking using boosted trees |
108
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ICML
2004
IEEE
16 years 18 days ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
103
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
109
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ACMSE
2010
ACM
14 years 6 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
MVA
2010
14 years 10 months ago
2010
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...