A Relevance Vector Machine Prediction Method Based on the Biased Wavelet Kernel Function
Relevance Vector Machine (RVM) is an important learning method in the field of machine learning for its sparsity, global optimality and the ability to solve nonlinear problems by using kernel functions. In this paper, a family of biased wavelets was used to construct the kernel functions of RVM. Bia...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
EDP Sciences
2017-01-01
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| Col·lecció: | ITM Web of Conferences |
| Accés en línia: | https://doi.org/10.1051/itmconf/20171205002 |
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