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Probabilistic Turing machine
Known as:
Two sided error
, One sided error machine
, Probabilistic Turing machines
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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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Related topics
Related topics
27 relations
Automata theory
BPL (complexity)
BPP (complexity)
Church–Turing thesis
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Broader (1)
Turing machine
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Modelación probabilista de pérdidas económicas por sismo para la estimación de la vulnerabilidad fiscal del estado y la gestión financiera del riesgo soberano
M. Fraume
,
Mª Cristina
2013
Corpus ID: 160232893
El riesgo sísmico y en general los desastres futuros que puede sufrir una ciudad, una región o un país significan una obligación…
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2012
2012
A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers
Giorgio Maria Di Nunzio
,
Alessandro Sordoni
Annual International ACM SIGIR Conference on…
2012
Corpus ID: 18966463
Naive-Bayes (NB) classifiers are simple probabilistic classifiers still widely used in supervised learning due to their tradeoff…
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2012
2012
Probabilistic Turing Machine and Landauer Limit
M. Frasca
2012
Corpus ID: 117822251
We show the equivalence between a probabilistic Turing machine and the time evolution of a one-dimensional Ising model, the…
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2008
2008
Probabilistic clustering by random swap algorithm
P. Fränti
,
O. Virmajoki
,
Ville Hautamäki
International Conference on Pattern Recognition
2008
Corpus ID: 8112861
We formulate probabilistic clustering method based on a sequence of random swaps of cluster centroids. We show that the algorithm…
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2007
2007
Active Learning and Adaptive Sampling for Non-Parametric Inference
R. Castro
2007
Corpus ID: 20214983
Active Learning and Adaptive Sampling for Non-Parametric Inference by Rui M. Castro This thesis presents a general discussion of…
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2002
2002
Selective Bayesian Classifier: Feature Selection For The Naive Bayesian Classifier Using Decision Trees
C. Ratanamahatana
,
D. Gunopulos
2002
Corpus ID: 17470816
It is known that Naive Bayesian classifier (NB) works very well on some domains, and poorly on some. The performance of NB…
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1995
1995
Probabilistic Relaxation as an Optimizer
A. J. Stoddart
,
M. Petrou
,
J. Kittler
British Machine Vision Conference
1995
Corpus ID: 2490087
Probabilistic Relaxation with product support has been shown to have advantages over 'traditional' probabilistic relaxation…
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Highly Cited
1989
Highly Cited
1989
Recognizing Hand-Printed Letters and Digits
Gale Martin
,
J. A. Pittman
Neural Information Processing Systems
1989
Corpus ID: 1651768
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation…
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1983
1983
Lower bounds on graph threading by probabilistic machines
P. Berman
,
Janos Simon
24th Annual Symposium on Foundations of Computer…
1983
Corpus ID: 12159188
It is likely that reliable and fast space-bounded probabilistic acceptors are less powerful than nondeterministic ones. We…
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1977
1977
A lower bound to palindrome recognition by probabilistic Turing machines
A. Yao
1977
Corpus ID: 10277374
We call attention to the problem of proving lower bounds on probabilistic Turing machine computations. It is shown that any…
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