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» On the Use of Evidence in Neural Networks
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JMLR
2008
129views more  JMLR 2008»
14 years 12 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
TNN
2011
107views more  TNN 2011»
14 years 6 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
BMCBI
2011
14 years 6 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...
CCR
2005
103views more  CCR 2005»
14 years 11 months ago
Part III: routers with very small buffers
Internet routers require buffers to hold packets during times of congestion. The buffers need to be fast, and so ideally they should be small enough to use fast memory technologie...
Mihaela Enachescu, Yashar Ganjali, Ashish Goel, Ni...
BMCBI
2010
165views more  BMCBI 2010»
15 years 17 hour ago
MTar: a computational microRNA target prediction architecture for human transcriptome
Background: MicroRNAs (miRNAs) play an essential task in gene regulatory networks by inhibiting the expression of target mRNAs. As their mRNA targets are genes involved in importa...
Vinod Chandra, Reshmi Girijadevi, Achuthsankar S. ...