1897 search results - page 20 / 380 » Sparse Additive Machine |
118
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
104
Voted
ICML
2010
IEEE
15 years 20 days ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
80
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
92
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...