Bayesian Multi-Hyperplane Machine for Pattern Recognition

ICPR, pp. 609-614, 2018.

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Current existing multi-hyperplane machine approach deals with high-dimensional and complex datasets by approximating the input data region using a parametric mixture of hyperplanes. Consequently, this approach requires an excessively time-consuming parameter search to find the set of optimal hyper-parameters. Another serious drawback of t...More



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