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ESWA
2007
100views more  ESWA 2007»
13 years 11 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
ICPR
2008
IEEE
15 years 3 days ago
Bregman distance to L1 regularized logistic regression
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
Mithun Das Gupta, Thomas S. Huang
ESEM
2008
ACM
14 years 20 days ago
A constrained regression technique for cocomo calibration
Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also nee...
Vu Nguyen, Bert Steece, Barry W. Boehm
HAIS
2010
Springer
14 years 27 days ago
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...
Oliver Kramer, Benjamin Satzger, Jörg Lä...