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Probabilistic automaton
Known as:
Probabilistic finite automata
, Stochastic language
, Probabilistic automata
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In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the non-deterministic finite automaton; it includes the…
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Related topics
Related topics
14 relations
Computer science
Constraint automaton
Currying
Formal language
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Multi-level Unified Caches for Probabilistically Time Analysable Real-Time Systems
Leonidas Kosmidis
,
J. Abella
,
Eduardo Quiñones
,
F. Cazorla
IEEE Real-Time Systems Symposium
2013
Corpus ID: 210997
Caches are key resources in high-end processor architectures to increase performance. In fact, most high-performance processors…
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2007
2007
Reliability conducive measures of coherence
E. Olsson
,
Stefan Schubert
Synthese
2007
Corpus ID: 34802362
A measure of coherence is said to be truth conducive if and only if a higher degree of coherence (as measured) results in a…
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2006
2006
Stochastic Language Generation Using WIDL-Expressions and its Application in Machine Translation and Summarization
Radu Soricut
,
D. Marcu
Annual Meeting of the Association for…
2006
Corpus ID: 934325
We propose WIDL-expressions as a flexible formalism that facilitates the integration of a generic sentence realization system…
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2005
2005
Stochastic Transition Systems for Continuous State Spaces and Non-determinism
S. Cattani
,
R. Segala
,
M. Kwiatkowska
,
G. Norman
Foundations of Software Science and Computation…
2005
Corpus ID: 7528047
We study the interaction between non-deterministic and probabilistic behaviour in systems with continuous state spaces, arbitrary…
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Highly Cited
2000
Highly Cited
2000
Stochastic language adaptation over time and state in natural spoken dialog systems
G. Riccardi
,
A. Gorin
IEEE Transactions on Speech and Audio Processing
2000
Corpus ID: 17013309
We are interested in adaptive spoken dialog systems for automated services. Peoples' spoken language usage varies over time for a…
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1995
1995
Forward-backward retraining of recurrent neural networks
A. Senior
,
A. J. Robinson
Neural Information Processing Systems
1995
Corpus ID: 7514628
This paper describes the training of a recurrent neural network as the letter posterior probability estimator for a hidden Markov…
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1992
1992
Improvements in Stochastic Language Modeling
R. Rosenfeld
,
Xuedong Huang
Human Language Technology - The Baltic Perspectiv
1992
Corpus ID: 8058984
We describe two attempt to improve our stochastic language models. In the first, we identify a systematic overestimation in the…
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1990
1990
Minimal Nontrivial Space Complexity of Probabilistic One-Way Turing Machines
J. Kaņeps
,
R. Freivalds
International Symposium on Mathematical…
1990
Corpus ID: 2018920
Languages recognizable in o(log log n) space by probabilistic one — way Turing machines are proved to be regular. This solves an…
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1986
1986
On compatibility and support functions in probabilistic relaxation
J. Kittler
,
J. Föglein
Computer Vision Graphics and Image Processing
1986
Corpus ID: 28123921
Highly Cited
1973
Highly Cited
1973
Testing for Intermittent Faults in Digital Circuits
M. Breuer
IEEE transactions on computers
1973
Corpus ID: 5364285
In this paper we present a few fundamental results related to the problems of characterization and detection of intermittent…
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