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» A Boosting Algorithm for Regression
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IJON
2008
88views more  IJON 2008»
14 years 11 months ago
Neural network construction and training using grammatical evolution
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
CMPB
2007
83views more  CMPB 2007»
14 years 11 months ago
A SAS macro for parametric and semiparametric mixture cure models
: Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not accoun...
Fabien Corbière, Pierre Joly
IVS
2006
127views more  IVS 2006»
14 years 11 months ago
Feature hiding in 3D human body scans
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002
JMLR
2006
136views more  JMLR 2006»
14 years 11 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
TEC
2008
104views more  TEC 2008»
14 years 11 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson