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» Approximating Component Selection
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ORL
2008
124views more  ORL 2008»
14 years 9 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 9 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
NN
2000
Springer
145views Neural Networks» more  NN 2000»
14 years 9 months ago
Best approximation by Heaviside perceptron networks
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...
Paul C. Kainen, Vera Kurková, Andrew Vogt
CBSE
2010
Springer
15 years 2 months ago
Comparison of Component Frameworks for Real-Time Embedded Systems
Abstract. The usage of components brings significant help in development of real-time embedded systems. There have been a number of component frameworks developed for this purpose...
Petr Hosek, Tomás Pop, Tomás Bures, ...
ENC
2007
IEEE
15 years 4 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...