Sparse Least Squares Low Rank Kernel Machines

29 Jan 2019 Di Xu Manjing Fang Xia Hong Junbin Gao

A general framework of least squares support vector machine with low rank kernels, referred to as LR-LSSVM, is introduced in this paper. The special structure of low rank kernels with a controlled model size brings sparsity as well as computational efficiency to the proposed model... (read more)

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