On the estimation of arterial route travel time distribution with Markov chains
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We apply boosting techniques to the problem of word error rate minimisation in speech recognition. This is achieved through a new definition of sample error for boosting and a training procedure for hidden Markov models. For this purpose we define a sample ...
We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distribution over actions in value-based reinforcement learning. While this approach is simil ...
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We apply boosting techniques to the problem of word error rate minimisation in speech recognition. This is achieved through a new definition of sample error for boosting and a training procedure for hidden Markov models. For this purpose we define a sample ...
In this study, chaotic wandering phenomenon observed in simple coupled chaotic circuits is modeled by Markov chains. As coupling parameter increases, the solution of the coupled chaotic circuits starts to wander chaotically over 6 different phase states wh ...
A novel method for polarization dispersion measurements using an interferometric loop is presented. It can be achieved using a particularly simple setup and provides a representation of the probability distribution of the polarization dispersion. ...
