165 search results - page 25 / 33 » Algorithms for Sparse Linear Classifiers in the Massive Data... |
ACL
2006
13 years 8 months ago
2006
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
RECOMB
2002
Springer
14 years 7 months ago
2002
Springer
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...