Method of Fast Bandwidth Selection in a Nonparametric Classifier Corresponding to the a Posteriori Probability Maximum Criterion
- 作者: Lapko A.V.1,2, Lapko V.A.1,2
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隶属关系:
- Institute of Computational Modeling, Siberian Branch
- Reshetnev Siberian University of Science and Technology
- 期: 卷 55, 编号 6 (2019)
- 页面: 597-605
- 栏目: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212924
- DOI: https://doi.org/10.3103/S8756699019060104
- ID: 212924
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详细
A method of fast bandwidth selection in a nonparametric algorithm of pattern recognition corresponding to the maximum a posteriori probability criterion is proposed. The algorithm is based on the results of studying the asymptotic properties of the nonparametric estimate of the separation surface equation and probability densities in solving a two-alternative problem of pattern recognition. The proposed method is compared with the traditional approach based on minimizing the classification error probability estimate.
作者简介
A. Lapko
Institute of Computational Modeling, Siberian Branch; Reshetnev Siberian University of Science and Technology
编辑信件的主要联系方式.
Email: lapko@icm.krasn.ru
俄罗斯联邦, Akademgorodok 50, building 44, Krasnoyarsk, 660036; pr. im. gazety “Krasnoyarskii rabochii” 31, Krasnoyarsk, 660037
V. Lapko
Institute of Computational Modeling, Siberian Branch; Reshetnev Siberian University of Science and Technology
Email: lapko@icm.krasn.ru
俄罗斯联邦, Akademgorodok 50, building 44, Krasnoyarsk, 660036; pr. im. gazety “Krasnoyarskii rabochii” 31, Krasnoyarsk, 660037
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