Titlebook: System Identification with Quantized Observations; Le Yi Wang,G. George Yin,Yanlong Zhao Book 2010 Springer Science+Business Media, LLC 20

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Le Yi Wang,G. George Yin,Ji-Feng Zhang,Yanlong Zhaoing sensor materials to detect harmful substances in the environment. In addition, vapochromism is scientifically interesting for the direct visualization of interactions between gases and solids. The crystals of metal complexes involve diverse and flexible electronic interactions, such as metal–met

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thm with respect to categorical data. However, similar to the k-means algorithm, the k-medoids algorithm can converge to local optima. This paper approaches the medoids-based formulation of clustering problem using genetic algorithms (GAs), a probabilistic search algorithm that simulates natural evo

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Le Yi Wang,G. George Yin,Ji-Feng Zhang,Yanlong Zhaolinear regression tree. The tree grows adaptively by replacing leaves with subtrees whenever they improve the model quality. The performance of the evolving regression is evaluated using actual data from an experimental transformer. The results suggest that the evolving fuzzy tree approach outperfor

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Le Yi Wang,G. George Yin,Ji-Feng Zhang,Yanlong Zhaoto improve the sentiment features in the sentences. Then, we employ convolutional neural networks to extract the important sentiment and context-level features in the sentences, and we weight the features using the attention method. In this study, we look at 5000 positive and 5000 negative sentiment

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