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BMCBI
2007
194views more  BMCBI 2007»
14 years 12 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ICCS
2003
Springer
15 years 5 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
BMCBI
2010
132views more  BMCBI 2010»
14 years 12 months ago
Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
Background: Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the e...
Andrés F. Flórez, Daeui Park, Jong B...
ICML
2006
IEEE
16 years 18 days ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
HRI
2006
ACM
15 years 5 months ago
Developer oriented visualisation of a robot program
Robot programmers are faced with the challenging problem of understanding the robot’s view of its world, both when creating and when debugging robot software. As a result tools ...
T. H. J. Collett, B. A. MacDonald