889 search results - page 15 / 178 » Observational Learning in Random Networks |
TMC
2011
13 years 4 months ago
2011
—We propose a method to compute a probably approximately correct (PAC) normalized histogram of observations with a refresh rate of Âð1Þ time units per histogram sample on a ra...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
INFOCOM
2010
IEEE
13 years 8 months ago
2010
IEEE
—Network Tomography (or network monitoring) uses end-to-end path-level measurements to characterize the network, such as topology estimation and failure detection. This work prov...
IWCMC
2010
ACM
13 years 11 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
NCI
2004
13 years 11 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...