890 search results - page 88 / 178 » Large Scale Online Learning |
158
click to vote
NIPS
2007
15 years 7 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
150
click to vote
PKDD
2009
Springer
16 years 2 days ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
165
click to vote
ATAL
2004
Springer
15 years 11 months ago
2004
Springer
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
133
Voted
PKDD
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
155
click to vote
ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...