1897 search results - page 18 / 380 » Sparse Additive Machine |
155
Voted
JMLR
2006
15 years 2 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
125
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
132
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
127
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
93
Voted
ALT
2008
Springer
15 years 11 months ago
2008
Springer
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...