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126
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DEDS
2008
48views more  DEDS 2008»
15 years 7 months ago
On the Minimization of Communication in Networked Systems with a Central Station
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...
Weilin Wang, Stéphane Lafortune, Feng Lin
193
Voted
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
16 years 1 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
182
Voted
AAAI
2010
15 years 8 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner
ICML
2008
IEEE
16 years 7 months ago
Reinforcement learning in the presence of rare events
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Jordan Frank, Shie Mannor, Doina Precup
193
Voted
HICSS
2003
IEEE
162views Biometrics» more  HICSS 2003»
16 years 4 days ago
Decision Support Models for Composing and Navigating through e-Learning Objects
Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways...
Gerhard Knolmayer