Kernel Association for Classification and Prediction: A Survey
作者： Yuichi Motai
DOI: 10.1109/TNNLS.2014.2333664
关键词:
摘要: Kernel association (KA) in statistical pattern recognition used for classification and prediction have recently emerged a machine learning signal processing context. This survey outlines the latest trends innovations of kernel framework big data analysis. KA topics include offline learning, distributed database, online its prediction. The structural presentation comprehensive list references are geared to provide useful overview this evolving field both specialists relevant scholars.
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