889 search results - page 66 / 178 » Observational Learning in Random Networks |
UAI
2004
13 years 10 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
We study the problem of agents locating other agents that are both capable and willing to help complete assigned tasks. An agent incurs a fixed cost for each help request it sends...
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
ICCAD
1995
IEEE
14 years 24 days ago
1995
IEEE
: A new approach to optimize multi-level logic circuits is introduced. Given a multi-level circuit, the synthesis method optimizes its area, simultaneously enhancing its random pat...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...