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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 7 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
JMLR
2008
83views more  JMLR 2008»
15 years 7 months ago
Evidence Contrary to the Statistical View of Boosting
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
David Mease, Abraham Wyner
TCAD
2010
107views more  TCAD 2010»
15 years 2 months ago
Evaluating Statistical Power Optimization
In response to the increasing variations in integrated-circuit manufacturing, the current trend is to create designs that take these variations into account statistically. In this ...
Jason Cong, Puneet Gupta, John Lee
MODELS
2007
Springer
16 years 1 months ago
A Generic Approach for Automatic Model Composition
Analyzing and modelling a software system with separate views is a good practice to deal with complexity and maintainability. When adopting such a modular approach for modelling, i...
Franck Fleurey, Benoit Baudry, Robert B. France, S...
ICCV
1999
IEEE
16 years 9 months ago
Higher Order Statistical Learning for Vehicle Detection in Images
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order...
A. N. Rajagopalan, Philippe Burlina, Rama Chellapp...