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In the last 10 years, flat histogram Monte Carlo simulations have contributed strongly to our understanding of the phase behavior of simple generic models of polymers. These simulations result in an estimate for the density of states of a model system. To connect this result with thermodynamics, one has to relate the density of states to the microcanonical entropy. In a series of publications, Dunkel,...
In this paper we present an overview of the state-of-the-art approaches for speech recognition of the Russian language. Since Russian is a highly inflective language with a complex mechanism of word formation, the main approaches for English speech recognition are not optimally applicable for Russian speech, at least directly and without appropriate adaptation. We make here an overview of some modern...
In this paper we present a new method which allows us to detect the most informative features out of all data extracted from a certain data corpus. Widely used Pearson's coefficient is not reliable if the dependency between extracted features (input variables) and the objective function (output) is not linear. This approach is based on a modified random balance method (RBM) combined with non-parametric...
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