1055 search results - page 83 / 211 » Convex Factorization Machines |
109
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
99
Voted
COLT
2004
Springer
15 years 6 months ago
2004
Springer
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
112
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ICALP
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. We consider the scheduling problem of minimizing the average weighted job completion time on a single machine under precedence constraints. We show that this problem with...
123
Voted
NIPS
2004
15 years 2 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
131
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UAI
2004
15 years 2 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...