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» Multi-Task Learning of Gaussian Graphical Models
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ICML
2010
IEEE
13 years 6 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
CVPR
2010
IEEE
13 years 7 months ago
Multi-Task Warped Gaussian Process for Personalized Age Estimation
Automatic age estimation from facial images has aroused research interests in recent years due to its promising potential for some computer vision applications. Among the methods ...
Yu Zhang, Dit-Yan Yeung
ICML
2010
IEEE
13 years 6 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
EVOW
2008
Springer
13 years 6 months ago
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control
In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false...
Jose M. Peña
ICML
2009
IEEE
14 years 5 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy