948 search results - page 81 / 190 » Modelling Agents as Observable Sources |
75
Voted
DEDS
2008
15 years 21 days ago
2008
The problem of minimizing communication in a distributed networked system is considered in a discrete-event formalism where the system is modeled as a finite-state automaton. The s...
96
Voted
ICDM
2007
IEEE
15 years 7 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
129
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AAAI
2012
13 years 3 months ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
108
Voted
AAAI
2008
15 years 3 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...