11 search results - page 1 / 3 » Multiple indefinite kernel learning with mixed norm regulari... |
ICML
2009
IEEE
13 years 2 months ago
2009
IEEE
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
NIPS
2004
13 years 6 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
PRIB
2009
Springer
13 years 11 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...