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ICMLA
2004
13 years 9 months ago
Two new regularized AdaBoost algorithms
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
Yijun Sun, Jian Li, William W. Hager
CEC
2010
IEEE
13 years 9 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
FMICS
2010
Springer
13 years 8 months ago
Correctness of Sensor Network Applications by Software Bounded Model Checking
We investigate the application of the software bounded model checking tool CBMC to the domain of wireless sensor networks (WSNs). We automatically generate a software behavior mode...
Frank Werner, David Faragó
CMPB
2007
83views more  CMPB 2007»
13 years 8 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
IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang