11910 search results - page 85 / 2382 » Online Learning Algorithms |
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
ECCV
2008
Springer
15 years 16 days ago
2008
Springer
Abstract. This paper presents an online learning algorithm for appearancebased gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the...
HICSS
2005
IEEE
14 years 4 months ago
2005
IEEE
This paper examines the learning behavior of online students in an asynchronous learning environment. We employ the theoretical lens of an online community of inquiry, to understa...