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Probabilistic Turing machine

Known as: Two sided error, One sided error machine, Probabilistic Turing machines 
In computability theory, a probabilistic Turing machine is a non-deterministic Turing machine which chooses between the available transitions at each… 
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Papers overview

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2013
2013
El riesgo sísmico y en general los desastres futuros que puede sufrir una ciudad, una región o un país significan una obligación… 
2012
2012
Naive-Bayes (NB) classifiers are simple probabilistic classifiers still widely used in supervised learning due to their tradeoff… 
2012
2012
We show the equivalence between a probabilistic Turing machine and the time evolution of a one-dimensional Ising model, the… 
2008
2008
We formulate probabilistic clustering method based on a sequence of random swaps of cluster centroids. We show that the algorithm… 
2007
2007
Active Learning and Adaptive Sampling for Non-Parametric Inference by Rui M. Castro This thesis presents a general discussion of… 
2002
2002
It is known that Naive Bayesian classifier (NB) works very well on some domains, and poorly on some. The performance of NB… 
1995
1995
Probabilistic Relaxation with product support has been shown to have advantages over 'traditional' probabilistic relaxation… 
Highly Cited
1989
Highly Cited
1989
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation… 
1983
1983
It is likely that reliable and fast space-bounded probabilistic acceptors are less powerful than nondeterministic ones. We… 
1977
1977
We call attention to the problem of proving lower bounds on probabilistic Turing machine computations. It is shown that any…