Ensemble Classification as a Recommendational Problem

Student: Segodin Vitaly

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2016

This paper presents the basic typology of machine learning problems, and directly describes the issue of ensemble classification. Moreover, a new algorithm for solving a problem of object classification was proposed improving the results of prediction. One of the specific characteristics of this algorithm is a determination of “latent” features of classifiers, for what a mathematical model was designed to evaluate these values. The main idea of the method and its model will be represented through a “toy example”. In addition to the stated facts, the results of experiments will be provided based on the data sets from UCI Machine Learning Repository.

Full text (added May 26, 2016)

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