Structural Minimax Probability Machine
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...[25] proposed a structural minimax probability machine for constructing a margin classifier....
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...More specifically, we first use Ward’s hierarchical clustering [29]4 to detect the clusters for each class on the training set, and then compute the mean and covariance matrix for each cluster....
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...Typical discriminative approaches include support vector machine (SVM) [4], neural network [5], Gaussian processes [6], and so on....
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"Structural Minimax Probability Mach..." refers background or methods in this paper
...class learning [31], [34], multiclass learning [35], [36], and so on)....
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...In the future, we plan to extend SMPM to one-class learning [15], [33], ordinal-class learning [31], [34], multiclass learning [35], [36], and other learning tasks....
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