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BMCBI
2007
194views more  BMCBI 2007»
15 years 4 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 9 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»
15 years 4 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 4 months 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 10 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