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» A Utile Function Optimizer
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AIA
2007
13 years 9 months ago
Optimizing number of hidden neurons in neural networks
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Yue Liu, Janusz A. Starzyk, Zhen Zhu
ICASSP
2011
IEEE
12 years 11 months ago
A cross-layer optimization for energy-efficient MAC protocol with delay and rate constraints
We propose the energy efficient MAC algorithm in this paper. In the proposed algorithm, each node sets the contention window size with respect to the residual energy, the harvest...
Haksub Kim, Hyungkeuk Lee, Sanghoon Lee
ICMLA
2007
13 years 9 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
CCR
2000
96views more  CCR 2000»
13 years 7 months ago
Decentralized optimal traffic engineering in the internet
Distributed optimal traffic engineering in the presence of multiple paths has been found to be a difficult problem to solve. In this paper, we introduce a new approach in an attem...
Constantino M. Lagoa, Hao Che
IJCAI
2003
13 years 9 months ago
On the Foundations of Expected Expected Utility
Intelligent agents often need to assess user utility functions in order to make decisions on their behalf, or predict their behavior. When uncertainty exists over the precise natu...
Craig Boutilier