Vladimir M. Troyanovskiy

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
In this paper we investigate the influence of outliers in the training set on the probabilistic classifier quality. By the example of naive Bayes classifier we show how the qualitative characteristics depend on the percentage of outliers' ratio. This dependence is built on three basic metrics of the classifier quality: precision, recall and F1 score. At the(More)
Evolution of information technologies and increased automation of manufacturing processes allow organizing the control of remote dynamic objects at real-time operation mode. The application of web-technology for organization of human machine interface makes it possible to conduct data-processing via local network and Internet. This paper is devoted to(More)
  • 1