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TIT
1998
71views more  TIT 1998»
15 years 5 months ago
Convolutional Encoder State Estimation
—To estimate the convolutional encoder state from received data, one may use the inverse to the encoder G. However, channel errors make this method unreliable. We propose a metho...
A. J. Han Vinck, Petr Dolezal, Young Gil Kim
IJCNN
2006
IEEE
16 years 5 days ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
ITS
2004
Springer
170views Multimedia» more  ITS 2004»
15 years 11 months ago
Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
Emotions play an important role in cognitive processes and specially in learning tasks. Moreover, there are some evidences that the emotional state of the learner correlated with h...
Soumaya Chaffar, Claude Frasson
ICCAD
1997
IEEE
127views Hardware» more  ICCAD 1997»
15 years 10 months ago
OPTIMIST: state minimization for optimal 2-level logic implementation
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
Robert M. Fuhrer, Steven M. Nowick
195
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UAI
2000
15 years 7 months ago
Value-Directed Belief State Approximation for POMDPs
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
Pascal Poupart, Craig Boutilier