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» Clustering with the Connectivity Kernel
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IJCNN
2007
IEEE
14 years 4 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
CLUSTER
2008
IEEE
14 years 4 months ago
SPRAT: Runtime processor selection for energy-aware computing
—A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since...
Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi
BMCBI
2008
112views more  BMCBI 2008»
13 years 9 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
IMC
2010
ACM
13 years 7 months ago
Eyeball ASes: from geography to connectivity
This paper presents a new approach to determine the geographical footprint of individual Autonomous Systems that directly provide service to end-users, i.e.,eyeball ASes. The key ...
Amir H. Rasti, Nazanin Magharei, Reza Rejaie, Walt...
JISE
2010
144views more  JISE 2010»
13 years 4 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee