Reduction of decision rule of multivariate interpolation and approximation method in the problem of data classification
This article explores a method of machine learning based on the theory of random functions. One of the main problems of this method is that decision rule of a model becomes more complicated as the number of training dataset examples increases. The decision rule of the model is the most probable real...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Institute of Computer Science
2016-06-01
|
| Series: | Компьютерные исследования и моделирование |
| Subjects: | |
| Online Access: | http://crm.ics.org.ru/uploads/crmissues/crm_2016_3/160304.pdf |