3 search results - page 1 / 1 » Learning Curves for Stochastic Gradient Descent in Linear Fe... |
NIPS
2003
13 years 5 months ago
2003
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
ESANN
2006
13 years 5 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...