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» Estimation in covariate-adjusted regression
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ICASSP
2011
IEEE
14 years 3 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
ICANN
2011
Springer
14 years 2 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
CSDA
2008
89views more  CSDA 2008»
14 years 11 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
ICCAD
2005
IEEE
147views Hardware» more  ICCAD 2005»
15 years 8 months ago
NoCEE: energy macro-model extraction methodology for network on chip routers
In this paper we present NoCEE, a fast and accurate method for extracting energy models for packet-switched Network on Chip (NoC) routers. Linear regression is used to model the r...
Jeremy Chan, Sri Parameswaran
JAMDS
2000
109views more  JAMDS 2000»
14 years 11 months ago
Robust estimation in Capital Asset Pricing Model
Bian and Dickey (1996) developed a robust Bayesian estimator for the vector of regression coefficients using a Cauchy-type g-prior. This estimator is an adaptive weighted average o...
Wing-Keung Wong, Guorui Bian