220 search results - page 30 / 44 » Training linear SVMs in linear time |
ACIVS
2006
Springer
14 years 1 months ago
2006
Springer
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
HIS
2004
13 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
TCOM
2010
13 years 5 months ago
2010
We consider two nodes equipped with multiple antennas that intend to communicate i.e. both of which transmit and receive data. We model the responses of the communication channels...
COLT
1999
Springer
13 years 11 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...