3 search results - page 1 / 1 » Learning Curves for Stochastic Gradient Descent in Linear Fe... |
85
Voted
NIPS
2003
15 years 8 days 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 ...
95
Voted
ICML
2008
IEEE
15 years 11 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
15 years 9 days 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...