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CSDA
2006
85views more  CSDA 2006»
13 years 9 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
ISITA
2010
13 years 7 months ago
Lattice-reduction aided HNN for vector precoding
In this paper we propose a modication of the Hopeld neural networks for vector precoding, based on Lenstra, Lenstra, and Lov`asz lattice basis reduction. This precoding algorithm c...
Vesna Gardasevic, Ralf R. Müller, Daniel J. R...
IDEAS
2009
IEEE
129views Database» more  IDEAS 2009»
13 years 6 months ago
Speeding-up data-driven applications with program summaries
We consider the class of database programs and address the problem of minimizing the cost of their exchanges with the database server. This cost partly consists of query execution...
Sonia Guehis, Virginie Goasdoué-Thion, Phil...
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
ICASSP
2011
IEEE
13 years 23 days ago
L0 sparse graphical modeling
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
Goran Marjanovic, Victor Solo