JMLR
2011
12 years 11 months ago
2011
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
IAJIT
2010
13 years 3 months ago
2010
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
FLAIRS
2004
13 years 5 months ago
2004
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...