889 search results - page 66 / 178 » Observational Learning in Random Networks |
136
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UAI
2004
15 years 3 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
15 years 4 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...
137
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ICCV
2009
IEEE
15 years 6 days 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...
110
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ICCAD
1995
IEEE
15 years 6 months 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...
154
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CVPR
2012
IEEE
13 years 4 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...