1897 search results - page 18 / 380 » Sparse Additive Machine |
167
Voted
JMLR
2006
15 years 3 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...
138
Voted
ICML
2007
IEEE
16 years 4 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...
144
Voted
ICML
2009
IEEE
16 years 4 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...
142
Voted
ICML
2007
IEEE
16 years 4 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 ...
105
Voted
ALT
2008
Springer
16 years 19 days 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...