81 search results - page 12 / 17 » Ridge Regression Learning Algorithm in Dual Variables |
CORR
2010
Springer
14 years 11 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
102
click to vote
BMCBI
2010
14 years 11 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
131
click to vote
JMLR
2006
14 years 11 months ago
2006
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
IJAR
2006
14 years 11 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...