862 search results - page 39 / 173 » Regularized Learning with Networks of Features |
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
AAAI
2008
15 years 2 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
ICPR
2006
IEEE
16 years 27 days ago
2006
IEEE
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...