Latent Words Recurrent Neural Network Language Models

The connection weights of the trained multilayer neural network are investigated in order to analyze feature extracted by the neural network in the learning process. Magnitude of

Under the hypothesis of convergence in probability of a sequence of c` adl` ag processes (X n ) n to a c` adl` ag process X, we are interested in the convergence of corresponding

In order to understand whether some kind of probabilistic reasoning was taken into account by businessmen, it is thus necessary to look at these factors

In the present paper, the methods of independent component analysis ICA and principal component analysis PCA are integrated into BP neural network for forecasting financial time

Finally, we infer through a second simulation study that when the multidimensional data is fitted with a unidimensional model, the unidimensional latent ability is precisely

In the previous discussions, we have found necessary and sufficient conditions for the existence of traveling waves with arbitrarily given least spatial periods and least temporal

In 1965, Kolakoski [7] introduced an example of a self-generating sequence by creating the sequence defined in the following way..

Our a;m in this paper is to apply the techniques de- veloped in [1] to obtain best-possible bounds for the distribution function of the sum of squares X2+y 2 and for the