FUNCTIONS OF RIVAL SIMILARITY IN ALGORITHMS OF RECOGNITION OF COMBINED TYPE


如何引用文章

全文:

详细

For decision of combined tasks of pattern recognition we offer methods based on function of rival similarity (FRiS-function). With the help of the function we can estimate similarity between objects, build decision rules, estimate compactness ofpatterns and informativeness of attributes. Examples of use of the offered methods for decision of tasks of recognition and forecasting are given in the article.

参考

  1. Methods of Recognition Based on the Function of Rival Similarity / N. G. Zagoruiko [et al.] // Pattern Recognition and Image Analysis. 2008. Vol. 18. P. 1-6.
  2. Attribute selection through decision rules construction (algorithm FRiS-GRAD) / N. G. Zagoruiko [et al.] // Pattern Recognition and Image Analysis : New Information Technologies : Proc. of 9th Intern Conf. Nizhni Novgorod. 2008. Vol. 2. P. 335-338.
  3. Gene Selection for Cancer Classification using Support Vector Machines / I. Guyon [et al.] // Machine Learning. 2002. Vol. 46 (1-3). P. 389-395.
  4. Дюбанов В. В. Использование FRiS-функции в алгоритмах предсказания количественных переменных (Алгоритм FRiS-Pro) // Знания-Онтологии-Теории (ЗОНТ-09) : тр. Всерос. конф. Новосибирск, 2009. Т. 2. С. 258-260.

补充文件

附件文件
动作
1. JATS XML
下载

版权所有 © Zagoruyko N.G., Borisova I.A., Dyubanov V.V., Kutnenko O.A., Zagoruiko N.G., Borisova I.A., Dyubanov V.V., Kutnenko O.A., 2010

Creative Commons License
此作品已接受知识共享署名 4.0国际许可协议的许可
##common.cookie##