\n| \n \u0417\u0430\u0431\u043e\u043d<\/span><\/p>\n\u0442\u043e\u04b7\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u041d\u0430\u043c\u0443\u0434<\/span><\/p>\n\u0442\u0435\u0445\u043d\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u043e\u043b<\/span><\/p>\n2023<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u0430\u04b3\u0438\u0444\u0430<\/span><\/p>\n24<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n \n \n <\/p>\n \n \n <\/p>\n \n \n \u0420\u04ef\u0439\u0445\u0430\u0442\u0438 \u0430\u0434\u0430\u0431\u0438\u0451\u0442\u04b3\u043e\u0438 \u0438\u0441\u0442\u0438\u0444\u043e\u0434\u0430\u0448\u0443\u0434\u0430<\/em><\/strong><\/span><\/p>\n <\/p>\n \n- \n
\n- \u0410\u0432\u0435\u0437\u043e\u0432 \u0410.\u0425. \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0430\u0443\u0447\u043d\u043e\u043c\u0443 \u0442\u0432\u043e\u0440\u0447\u0435\u0441\u0442\u0432\u0443. \u0412\u0435\u0441\u0442\u043d\u0438\u043a \u0422\u0430\u0434\u0436\u0438\u043a\u0441\u043a\u043e\u0433\u043e \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043f\u0440\u0430\u0432\u0430, \u0431\u0438\u0437\u043d\u0435\u0441\u0430 \u0438 \u043f\u043e\u043b\u0438\u0442\u0438\u043a\u0438. 2014. \u2116 1 (57). \u0421. 316-327.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
\n- \n
\n- Allwein, E.L., Schapire, R.E. and Singer, Y. (2000). Reducing multiclass to <\/em>binary: A unifying approach for margin classifiers. In P. Langley (ed.), Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), pp. 9\u201316.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
\n- \n
\n- Blockeel, H., De Raedt, L. and Ramon, J. (1998). Top-down induction of clustering trees. In J.W. Shavlik (ed.), Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), pp. 55\u201363.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
\n- \n
\n- Boser, B.E., Guyon, I. and Vapnik, V. (1992). A training algorithm for optimal margin classifiers. In Proceedings of the International Conference on Computational Learning Theory (COLT 1992), pp. 144\u2013152.<\/em><\/li>\n
- Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984). Classification and Regression Trees. Wadsworth.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div>\n<\/div>\n
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\u049b\u0430\u0431\u0438\u043b\u0438…<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[408],"tags":[412],"class_list":["post-3089","post","type-post","status-publish","format-standard","hentry","category---2023","tag---2023-1"],"acf":[],"featured_image_src":null,"author_info":{"display_name":"Ilhomjon 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