190 search results - page 30 / 38 » PAC-Bayesian learning of linear classifiers |
FLAIRS
2008
14 years 12 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
83
Voted
CVPR
2010
IEEE
15 years 28 days ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
SI3D
2006
ACM
15 years 3 months ago
2006
ACM
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
102
Voted
NIPS
1997
14 years 11 months ago
1997
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
CONEXT
2007
ACM
14 years 11 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...