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» Estimation in covariate-adjusted regression
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TSP
2008
119views more  TSP 2008»
14 years 11 months ago
Universal Weighted MSE Improvement of the Least-Squares Estimator
Since the seminal work of Stein in the 1950s, there has been continuing research devoted to improving the total meansquared error (MSE) of the least-squares (LS) estimator in the l...
Yonina C. Eldar
IWSM
2000
Springer
15 years 2 months ago
CEOS - A Cost Estimation Method for Evolutionary, Object-Oriented Software Development
: In this article we present a method for estimating the effort of software projects following an evolutionary, object-oriented development paradigm. Effort calculation is based on...
Siar Sarferaz, Wolfgang Hesse
HIS
2004
15 years 21 days ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
CORR
2007
Springer
128views Education» more  CORR 2007»
14 years 11 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICPR
2010
IEEE
14 years 9 months ago
Ranking Model for Facial Age Estimation
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
Peng Yang, Lin Zhong, Dimitris N. Metaxas