3556 search results - page 203 / 712 » Can machine learning be secure |
102
Voted
NECO
2008
15 years 22 days ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
88
Voted
ECTEL
2009
Springer
14 years 10 months ago
2009
Springer
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
120
click to vote
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
121
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
106
click to vote
ML
2006
ACM
15 years 22 days ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...