An Online Robust Support Vector Regression for Data Streams

IEEE Transactions on Knowledge and Data Engineering(2022)

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摘要
Since support vector regression (SVR) is a flexible regression algorithm, its computational complexity does not depend on the dimensionality of the input space, and it has excellent generalization capability. However, a central assumption with SVRs is that all the required data is available at the time of construction, which means these algorithms cannot be used with data streams. Incremental SVR ...
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关键词
Support vector machines,Robustness,Noise measurement,Kernel,Training,Heuristic algorithms,Data models
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