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» Linear Response for Approximate Inference
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BMCBI
2007
197views more  BMCBI 2007»
13 years 7 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
UAI
2008
13 years 9 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
TIT
1998
96views more  TIT 1998»
13 years 7 months ago
Nonparametric Estimation of Transfer Functions: Rates of Convergence and Adaptation
Abstract— The paper deals with estimating transfer functions of stable linear time-invariant systems under stochastic assumptions. We adopt a nonparametric minimax approach for m...
Alexander Goldenshluger
NETWORK
2011
13 years 2 months ago
Inferring video QoE in real time
Inferring the subjective perception of a video stream in real time continues to be a stiff problem. This article presents MintMOS: a lightweight, no-reference, loadable kernel mod...
Mukundan Venkataraman, Mainak Chatterjee
TCAD
2010
107views more  TCAD 2010»
13 years 2 months ago
Evaluating Statistical Power Optimization
In response to the increasing variations in integrated-circuit manufacturing, the current trend is to create designs that take these variations into account statistically. In this ...
Jason Cong, Puneet Gupta, John Lee