1897 search results - page 28 / 380 » Sparse Additive Machine |
ICAISC
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
125
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AAAI
2010
15 years 1 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
109
Voted
ACL
1998
15 years 1 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
116
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SIAMSC
2010
14 years 11 months ago
2010
Abstract. Popular approaches for solving the shallow water equations (SWE) for climate modeling are explicit and semi-implicit methods, both have certain constraints on the time st...
103
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...