Titlebook: Data Science; 4th International Co Qinglei Zhou,Yong Gan,Zeguang Lu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018 art

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Complex Networks & Their Applications Xd data cleaning tasks. Although deep learning techniques of data science have transformed various applications, there are few efforts to leverage these techniques to deal with entity resolution. We also observe the importance of overlapped tokens and the semantic similarity from pre-trained word vec

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丑惡

Favorable

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Ophthalmologist

Hocine Cherifi,Luis M. Rocha,Murat Donduranghbor rule (RPNN), which is based on the idea of pseudo nearest neighbor rule (PNN). In the proposed RPNN, a query point is represented as a linear combination of all the training samples in each class, and we use k largest representation coefficients to determine k nearest neighbors per class inste

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Complex Networks & Their Applications XIIure selection algorithms that include Automatic encoder (Autoencoder) and Principal Component Analysis (PCA). The algorithms that the paper proposes will be applied in the field of network intrusion detection. First of all, we combine the KNN classifier with the effective feature selection algorithm

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Donald Loveland,Rajmonda Caceresl information underlaid in the characters, moreover this visual information in the expression of characters plays an extremely important role. Therefore, the visual information can be uncovered from the single character image through Convolutional Neural Network (CNN). Compared with the mainstream m

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