Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
JMLR
2011
110views more  JMLR 2011»
9 years 11 months ago
Training SVMs Without Offset
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...
Ingo Steinwart, Don R. Hush, Clint Scovel
IAJIT
2010
117views more  IAJIT 2010»
10 years 2 months ago
Development of Neural Networks for Noise Reduction
: 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...
Lubna Badri
FLAIRS
2004
10 years 5 months ago
Invariance of MLP Training to Input Feature De-correlation
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...
Changhua Yu, Michael T. Manry, Jiang Li
IJCNN
2007
IEEE
10 years 10 months ago
TRUST-TECH Based Neural Network Training
— 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...
Hsiao-Dong Chiang, Chandan K. Reddy
books