%0 
%0 Journal Article
%A Bertocchi, Graziella & Kehagias, Athanasios
%D 1995
%T Efficiency and optimality in stochastic models with production
%E 
%B Journal of Economic Dynamics and Control
%C 
%I 
%V 19
%6
%N 1-2
%P 303--325
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%F Bertocchi1995
%K Efficiency 
%X 
%Z 
%U http://www.sciencedirect.com/science/article/B6V85-3YB56MM-23/1/e477ba79212253babc0bc3504744f110
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%0 
%0 Book Section
%A Kehagias, Athanasios
%D 2007
%T A Family of Multi-valued t-norms and t-conorms.
%E Kaburlasos, Vassilis G. & Ritter, Gerhard X.
%B Computational Intelligence Based on Lattice Theory
%C 
%I Springer
%V 67
%6
%N 
%P 341-360
%& 
%Y 
%S Studies in Computational Intelligence
%7 
%8 
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%@ 978-3-540-72686-9
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%3 incollection
%4 series/sci/2007-67
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%F series/sci/Kehagias07
%K dblp 
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%U http://dblp.uni-trier.de/db/series/sci/sci67.html#Kehagias07
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%0 
%0 Book Section
%A Kehagias, Athanasios
%D 2007
%T The Construction of Fuzzy-valued t-norms and t-conorms.
%E Kaburlasos, Vassilis G. & Ritter, Gerhard X.
%B Computational Intelligence Based on Lattice Theory
%C 
%I Springer
%V 67
%6
%N 
%P 361-370
%& 
%Y 
%S Studies in Computational Intelligence
%7 
%8 
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%? 
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%@ 978-3-540-72686-9
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%*
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%3 incollection
%4 series/sci/2007-67
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%F series/sci/Kehagias07a
%K dblp 
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%U http://dblp.uni-trier.de/db/series/sci/sci67.html#Kehagias07a
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%^

%0 
%0 Generic
%A Kehagias, Athanasios
%D 1991
%T Stochastic Recurrent Networks Training by the Local Backward-Forward Algorithm
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%B 
%C
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%F kehagias:bf
%K nn 
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%0 
%0 Generic
%A Kehagias, Athanasios
%D 1991
%T Stochastic Recurrent Networks Training by the Local Backward-Forward Algorithm
%E
%B 
%C
%I 
%V 
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%0 
%0 Generic
%A Kehagias, Athanasios
%D 1991
%T Stochastic Recurrent Networks: Prediction and Classification of Time Series
%E
%B 
%C
%I 
%V 
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%F kehagias:stochastic
%K nn 
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%0 
%0 Manuscript
%A Kehagias, Athanasios
%D 1991
%T A Short Bibliography of Connectionist Systems for Temporal Behavior
%E
%B 
%C
%I
%V 
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%1 
%2 From the Connectionists mailing list
%3 unpublished
%4 
%# 
%$ 
%F kehagias:temporal
%K nn 
%X 
%Z 
%U 
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%^

%0 
%0 Journal Article
%A Kunsch, Hans; Geman, Stuart & Kehagias, Athanasios
%D 1995
%T Hidden Markov Random Fields
%E 
%B The Annals of Applied Probability
%C 
%I Institute of Mathematical Statistics
%V 5
%6
%N 3
%P 577--602
%& 
%Y 
%S 
%7
%8 aug
%9
%? 
%! 
%Z 
%@ 10505164
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%2 
%3 article
%4 
%# 
%$ 
%F 1995
%K bayes imageprocessing markovrandomfields models statistics 
%X A noninvertible function of a first-order Markov process or of a nearest-neighbor Markov random field is called a hidden Markov model. Hidden Markov models are generally not Markovian. In fact, they may have complex and long range interactions, which is largely the reason for their utility. Applications include signal and image processing, speech recognition and biological modeling. We show that hidden Markov models are dense among essentially all finite-state discrete-time stationary processes and finite-state lattice-based stationary random fields. This leads to a nearly universal parameterization of stationary processes and stationary random fields, and to a consistent nonparametric estimator. We show the results of attempts to fit simple speech and texture patterns.
%Z 
%U http://www.jstor.org/stable/2245115
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%0 
%0 Journal Article
%A Mamalis, Basilis; Kehagias, Dimitris & Pantziou, Grammati E.
%D 2008
%T Efficient Techniques for Parallel Text Retrieval on PC-Cluster Environments.
%E 
%B I. J. Comput. Appl.
%C 
%I 
%V 15
%6
%N 1
%P 27-42
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%U http://dblp.uni-trier.de/db/journals/isca/isca15.html#MamalisKP08
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%0 
%0 Journal Article
%A Voyiatzis, Ioannis & Kehagias, D.
%D 2006
%T A SiC Pair Generator for a Bilbo Environment.
%E 
%B Journal of Circuits, Systems, and Computers
%C 
%I 
%V 15
%6
%N 5
%P 739-756
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%F journals/jcsc/VoyiatzisK06
%K dblp 
%X 
%Z 
%U http://dblp.uni-trier.de/db/journals/jcsc/jcsc15.html#VoyiatzisK06
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