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» Model Selection and Error Estimation
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120
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CORR
2010
Springer
201views Education» more  CORR 2010»
14 years 10 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
122
Voted
CGI
1998
IEEE
15 years 5 months ago
Illumination Dependent Refinement of Multiresolution Meshes
State of the art multiresolution modeling allows to selectively refine a coarse mesh of an object on the visually important parts. In this way it is possible to render the geometr...
Andreas Schilling, Reinhard Klein, Wolfgang Stra&s...
91
Voted
HICSS
2000
IEEE
102views Biometrics» more  HICSS 2000»
15 years 5 months ago
Strategic Behavior in Spot Markets for Electricity when Load is Stochastic
In the first part of the paper, daily price data for the past three summer seasons in the PJM wholesale market are used to estimate a stochastic regime switching model. These data...
Timothy Mount
93
Voted
WSC
1998
15 years 2 months ago
LABATCH.2: Software for Statistical Analysis of Simulation Sample Path Data
LABATCH.2 is a collection of computer programs available in C, FORTRAN, and SIMSCRIPT II.5 by anonymous ftp, at http://www.or.unc.edu/gfish/labatch.2.html. It performs statistical...
George S. Fishman
112
Voted
IJCV
2000
133views more  IJCV 2000»
15 years 17 days ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer