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The recently introduced DeepIR model is proven effective for text classification [1]. In this paper, a modified DeepIR model is proposed by introducing a new document probability. This probability employs composite log likelihood method. An experiment using the modified DeepIR model is conducted on five text classification data sets. The proposed model shows considerable improvements in multi-class...
In order to enhance efficiency and accuracy of dynamic hand gesture recognition based on HMM method. we propose a new HMM algorithm combined with the DTW for the computation's high complexity of HMM method in the training stage. The new HMM can establish the relationship of fuzzy closeness degree between the DTW algorithm and the HMM algorithm. Meanwhile, it can combine with the template adaptive...
Proposed a novel algorithm of dynamic fuzzy neural network structure based on the expansion of radial basis network, the outlet error and may hold the boundary the effective radius is determined whether the new rule should be joined into the fuzzy rules, and can reach specific function of the system. Its most prominent feature of learning algorithm parameters are adjusted and the structure of identification...
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