Adaptive stellar spectral subclass classification based on Bayesian SVMs
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We applied the BSVM model to the stellar spectral subclass classification problems.

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BSVM model can infer the model parameters automatically, i.e., it is data-driven.

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We provided the optimal hyper-parameters α and β for BSVM model.

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We investigated different normalization methods and the best one has been suggested.

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BSVM model owns favorable adaptability and provides good prediction performance.

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