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» Multiple fuzzy neural networks modeling with sparse data
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IWANN
2009
Springer
14 years 3 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ICANN
2009
Springer
14 years 3 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
TMC
2011
164views more  TMC 2011»
13 years 3 months ago
Security Games for Vehicular Networks
—Vehicular networks (VANETs) can be used to improve transportation security, reliability, and management. This paper investigates security aspects of VANETs within a game-theoret...
Tansu Alpcan, Sonja Buchegger
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
14 years 5 days ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
SMC
2007
IEEE
111views Control Systems» more  SMC 2007»
14 years 2 months ago
Prediction method to maintain QoS in weather impacted wireless and satellite networks
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
Kamal Harb, Anand Srinivasan, Changcheng Huang, Br...