509 search results - page 88 / 102 » Compositional Models for Reinforcement Learning |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
UAI
2003
13 years 9 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
CVPR
2008
IEEE
14 years 2 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
SAINT
2003
IEEE
14 years 28 days ago
2003
IEEE
In this paper we outline a framework for performing automated discovery, composition and execution of web services based solely on the information available in interface descripti...