27 search results - page 3 / 6 » Learning Stochastic Perceptrons Under k-Blocking Distributio... |
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
86
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
92
Voted
CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
FLAIRS
2007
15 years 17 days ago
2007
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
80
Voted
NC
2002
14 years 10 months ago
2002
Second order statistics have formed the basis of learning and adaptation due to its appeal and analytical simplicity. On the other hand, in many realistic engineering problems requ...