Sciweavers

163 search results - page 11 / 33
» Average-Case Active Learning with Costs
Sort
View
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
14 years 2 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ECAI
2004
Springer
14 years 26 days ago
Active Learning for Robot Manipulation
Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...
Antonio Morales, Eris Chinellato, Andrew H. Fagg, ...
ISCI
2008
95views more  ISCI 2008»
13 years 7 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
IUI
2006
ACM
14 years 1 months ago
Fewer clicks and less frustration: reducing the cost of reaching the right folder
Helping computer users rapidly locate files in their folder hierarchies has become an important research topic in today’s intelligent user interface design. This paper reports o...
Xinlong Bao, Jonathan L. Herlocker, Thomas G. Diet...
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 7 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar