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JMLR
2008
83views more  JMLR 2008»
13 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
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 7 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
DAC
2000
ACM
13 years 12 months ago
An asymptotically constant, linearly bounded methodology for the statistical simulation of analog circuits including component m
Abstract: This paper presents a new statistical methodology to simulate the effect of both inter-die and intra-die variation on the electrical performance of analog integrated circ...
Carlo Guardiani, Sharad Saxena, Patrick McNamara, ...
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
13 years 12 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
CSDA
2010
67views more  CSDA 2010»
13 years 7 months ago
Using combinatorial optimization in model-based trimmed clustering with cardinality constraints
Statistical clustering criteria with free scale parameters and unknown cluster sizes are inclined to create small, spurious clusters. To mitigate this tendency a statistical model ...
María Teresa Gallegos, Gunter Ritter