146 search results - page 8 / 30 » Online Gradient Descent Learning Algorithms |
FOCM
2006
13 years 7 months ago
2006
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
TNN
2008
13 years 7 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
NIPS
2008
13 years 8 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...