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» The Feature Selection Path in Kernel Methods
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JMLR
2010
152views more  JMLR 2010»
13 years 2 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
ICML
2009
IEEE
14 years 8 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
CVPR
2010
IEEE
13 years 5 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan