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» Editing and versioning dynamic network models
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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ICASSP
2008
IEEE
14 years 2 months ago
Polyphase speech recognition
We propose a model for speech recognition that consists of multiple semi-synchronized recognizers operating on a polyphase decomposition of standard speech features. Specifically...
Hui Lin, Jeff Bilmes
FGCS
2002
153views more  FGCS 2002»
13 years 7 months ago
HARNESS fault tolerant MPI design, usage and performance issues
Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to suppor...
Graham E. Fagg, Jack Dongarra
SIAMADS
2010
121views more  SIAMADS 2010»
13 years 2 months ago
Binocular Rivalry in a Competitive Neural Network with Synaptic Depression
We study binocular rivalry in a competitive neural network with synaptic depression. In particular, we consider two coupled hypercolums within primary visual cortex (V1), represent...
Zachary P. Kilpatrick, Paul C. Bressloff
ALGORITHMICA
2007
132views more  ALGORITHMICA 2007»
13 years 7 months ago
On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks
We study the problem of providing a sensor with an accurate estimate of the time, from a novel perspective which is complementary to the well-studied clock synchronization problem....
Daniela Tulone