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JMLR
2008
116views more  JMLR 2008»
15 years 1 months ago
Support Vector Machinery for Infinite Ensemble Learning
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
Hsuan-Tien Lin, Ling Li
ICDIM
2007
IEEE
15 years 7 months ago
Estimating product lifecycle cost using a hybrid approach
It becomes clear for manufacturing companies that product lifecycle cost (LCC) is as crucial as product quality and functionality in deciding the success of a product in the marke...
Haifeng Liu, Vivekanand Gopalkrishnan, Wee Keong N...
AI
2008
Springer
15 years 1 months ago
The well-designed child
This article is inspired by recent psychological studies confirming that a child is not born a blank slate but has important innate capabilities. An important part of the "le...
John McCarthy
ACIVS
2009
Springer
15 years 8 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
IJON
2006
146views more  IJON 2006»
15 years 1 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