11910 search results - page 22 / 2382 » Online Learning Algorithms |
JMLR
2012
11 years 10 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
COLT
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
NECO
2008
13 years 7 months 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...