544 search results - page 56 / 109 » Active Learning with Model Selection in Linear Regression |
IJCAI
2007
13 years 10 months ago
2007
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
FGR
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
AAAI
2008
13 years 11 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...