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- Stephan M. Kerpedjiev, Veska Noncheva
- COLING
- 1990

Some typical cases of i n te l l i gen t handling of weather forecasts such as t ranslat ion, v i s u a l i z a t i o n , e t c . are decomposed into two subprocesses ~ analysis and s y n t h e s i s . S p e c i f i c techn iques are presented f o r a n a l y s i s and s y n t h e s i s of weather f o r e c a s t texts as well as f o r g e n e r a t i o n… (More)

- Dinko Dimchev Lambov, Gaël Dias, Veska Noncheva
- EPIA
- 2009

- Gaël Dias, Dinko Dimchev Lambov, Veska Noncheva
- ICWSM
- 2009

In the nonparametric framework of Data Envelopment Analysis the statistical properties of its estimators have been investigated and only asymptotic results are available. For DEA estimators results of practical use have been proved only for the case of one input and one output. However, in the real world problems the production process is usually well… (More)

- Veska Noncheva
- Informatica, Lith. Acad. Sci.
- 1999

The aim of the article is to show a stochastic approach for both modelling and optimizing the statistical agent belief in a probability model. Two networks are defined: a decision network D of the agent belief state and a utility network U, presenting the utility structure of the agent belief problem. The agent belief is presented via the following three… (More)

- Dimitar Atanasov, Verica Bakeva, +26 authors Raina S. Robeva
- 2003

Dimitar Atanasov Study on Robustness of Strehler-Mildvan Model 3 Verica Bakeva Probabilistic Models in Cryptography and Coding Theory 3 Aleksandras Baltrūnas Subexponential distributions large deviations with applications to insurance and queueing models 4 Slavtchova-Bojkova, M., Becker-Kern, P., Mitov, K. Total Progeny in a Subcritical Branching Process… (More)

- Veska Noncheva, Charalambos Moussas
- IADIS AC
- 2005

Veska Noncheva, Nuno Marques Abstract: Our approach for knowledge presentation is based on the idea of expert system shell. At first we will build a graph shell of both possible dependencies and possible actions. Then, reasoning by means of Loglinear models, we will activate some nodes and some directed links. In this way a Bayesian network and networks… (More)

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