374 search results - page 57 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
IJON
2010
13 years 6 months ago
2010
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
JMLR
2012
11 years 10 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
ICRA
2003
IEEE
14 years 29 days ago
2003
IEEE
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...