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» Intelligent light control using sensor networks
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AAAI
2011
13 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
DCOSS
2009
Springer
15 years 4 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
IJCNN
2008
IEEE
15 years 3 months ago
Uncertainty propagation for quality assurance in Reinforcement Learning
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
Daniel Schneegaß, Steffen Udluft, Thomas Mar...
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
14 years 10 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
72
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COMCOM
2006
118views more  COMCOM 2006»
14 years 9 months ago
A novel content-aware interleaving for wireless video transmission
In wireless network environments, the effect of transmission errors and losses on the video quality vary, depending on the intensity of the burst, and which parts of the video str...
Jeong-Yong Choi, Jitae Shin