3491 search results - page 468 / 699 » Cascaded Markov Models |
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BIOADIT
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
210
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AAAI
2008
15 years 9 months ago
2008
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
176
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WSC
2007
15 years 9 months ago
2007
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
200
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WSC
2008
15 years 9 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
197
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DCOSS
2008
Springer
15 years 9 months ago
2008
Springer
Abstract. A number of recently proposed mobile sensor network architectures rely on uncontrolled, or weakly-controlled mobility to achieve sensing coverage over time at low cost, a...