DeJiao Niu

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RNNLM (Recurrent Neural Network Language Model) can save the historical information of the training dataset by the last hidden layer and can also as input for training. It has become an interesting topic in the field of Natural Language Processing research. However, the immense training time overhead is a big problem. The large output layer, hidden layer,(More)
In this paper, we present a special model G-GRID for graphic service grid system. The main function of each layer in the model is described in detail, the service description and system architecture are defined as well. Then we propose the key algorithms of services discovery, management and schedule of the grid system. Some implementation interfaces of the(More)
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