GraziellaBertocchi AthanasiosKehagias Efficiency and optimality in stochastic models with production Journal of Economic Dynamics and Control 19 303–325 1995 AthanasiosKehagias A Family of Multi-valued t-norms and t-conorms. Springer 67 341-360 2007 AthanasiosKehagias The Construction of Fuzzy-valued t-norms and t-conorms. Springer 67 361-370 2007 AthanasiosKehagias Stochastic Recurrent Networks Training by the Local Backward-Forward Algorithm 1991 AthanasiosKehagias Stochastic Recurrent Networks Training by the Local Backward-Forward Algorithm 1991 AthanasiosKehagias Stochastic Recurrent Networks: Prediction and Classification of Time Series 1991 AthanasiosKehagias A Short Bibliography of Connectionist Systems for Temporal Behavior 1991 HansKunsch StuartGeman AthanasiosKehagias Hidden Markov Random Fields The Annals of Applied Probability Institute of Mathematical Statistics 5 577–602 1995 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. BasilisMamalis DimitrisKehagias GrammatiE.Pantziou Efficient Techniques for Parallel Text Retrieval on PC-Cluster Environments. I. J. Comput. Appl. 15 27-42 2008 IoannisVoyiatzis D.Kehagias A SiC Pair Generator for a Bilbo Environment. Journal of Circuits, Systems, and Computers 15 739-756 2006