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» Variable selection using neural-network models
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ICIP
2004
IEEE
15 years 11 months ago
Variable block-size transform and entropy coding at the enhancement layer of FGS
This paper proposes the variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (Fine Granularity Scalable) video coding. First,...
Jungong Han, Xiaoyan Sun, Feng Wu, Shipeng Li, Zha...
ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Media Streaming with Conservative Delay on Variable Rate Channels
We address the problem of delay-constrained streaming of multimedia packets over dynamic bandwidth channels. Efficient streaming solutions generally rely on the knowledge of the ...
Dan Jurca, Pascal Frossard
BMCBI
2011
14 years 4 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...
ICML
1997
IEEE
15 years 10 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
UAI
2001
14 years 11 months ago
Efficient Stepwise Selection in Decomposable Models
In this paper, we present an efficient algorithm for performing stepwise selection in the class of decomposable models. We focus on the forward selection procedure, but we also di...
Amol Deshpande, Minos N. Garofalakis, Michael I. J...