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ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
IEEECIT
2009
IEEE
15 years 5 months ago
2009
IEEE
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
CVPR
2008
IEEE
15 years 5 days ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
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NIPS
2008
14 years 11 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
ECCV
2006
Springer
16 years 8 days ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...