641 search results - page 45 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
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SOFTCO
2004
Springer
15 years 3 months ago
2004
Springer
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
IJCAT
2010
14 years 8 months ago
2010
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
ENGL
2008
14 years 9 months ago
2008
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...