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ALT
2001
Springer
16 years 3 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 6 months ago
Natural pseudo-distance and optimal matching between reduced size functions
We study a dissimilarity measure between shapes, expressed by the natural pseudodistance between size pairs, where a shape is viewed as a topological space endowed with a real-val...
Michele d'Amico, Patrizio Frosini, Claudia Landi
NAR
2010
111views more  NAR 2010»
15 years 1 months ago
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional pr
Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of t...
Ignacio Medina, José Carbonell, Luis Pulido...
EOR
2007
117views more  EOR 2007»
15 years 6 months ago
Simultaneous perturbation stochastic approximation of nonsmooth functions
A simultaneous perturbation stochastic approximation (SPSA) method has been developed in this paper, using the operators of perturbation with the Lipschitz density function. This ...
Vaida Bartkute, Leonidas Sakalauskas
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
16 years 11 days ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...