Field Support Vector Machines.

IEEE Transactions on Emerging Topics in Computational Intelligence(2017)

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摘要
Conventional classifiers often regard input samples as identically and independently distributed (i.i.d.). This is however not true in many real applications, especially when patterns occur as groups (where each group shares a homogeneous style). Such tasks are also called field classification. By breaking the i.i.d. assumption, one novel framework called Field Support Vector Machine (F-SVM) is pr...
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关键词
Support vector machines,Optimization,Training,Classification,Convergence,Training data,Learning systems
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