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BMCBI
2010
182views more  BMCBI 2010»
13 years 8 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
STACS
2009
Springer
14 years 2 months ago
Randomness on Computable Probability Spaces - A Dynamical Point of View
We extend the notion of randomness (in the version introduced by Schnorr) to computable Probability Spaces and compare it to a dynamical notion of randomness: typicality. Roughly, ...
Péter Gács, Mathieu Hoyrup, Cristoba...
IWANN
2007
Springer
14 years 2 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
11 years 10 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...
WECWIS
2006
IEEE
150views ECommerce» more  WECWIS 2006»
14 years 2 months ago
Economic Evaluation Framework of Resource Allocation Methods in Service-Oriented Architectures
Economic resource allocation in Application Layer Networks (such as Grids) is critical to allow applications and users to effectively exploit computational and data infrastructure...
Werner Streitberger, Michael Reinicke, Torsten Eym...