313 search results - page 29 / 63 » Hierarchical sampling for active learning |
AAAI
2007
14 years 1 months ago
2007
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
GECCO
2008
Springer
13 years 12 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
CHI
2008
ACM
14 years 11 months ago
2008
ACM
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a method to analyze daily activities, such as meal preparation, using video from an egocentric camera. Our method performs inference about activities, actions, hands, a...
AAAI
2008
14 years 1 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...