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Feature selection plays an important role in machine learning and data mining. In recent years, various feature measurements have been proposed to select significant features from high-dimensional datasets. However, most traditional feature selection methods will ignore some features which have strong classification ability as a group but are weak as(More)
By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification processes are batch or offline, which hinder their widespread(More)
Mobile Terminal Crowd Sourcing provides social network information and services for users through data processing and data mining. Intelligent engine provides recommendation based on historical information and real-time environment, which are primarily used in intelligent life, mobile social networking, and other fields. Firstly, the concept of intelligent(More)
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