INTELLIGENT SYSTEMS AND TECHNOLOGIES
Yu.S. Popkov Effectiveness estimation of matrices compression in the procedures of randomized machine learning
COMPUTING SYSTEMS
PATTERN RECOGNITION
CONTROL AND DECISION-MAKING
Yu.S. Popkov Effectiveness estimation of matrices compression in the procedures of randomized machine learning

Abstract

The method of estimation effectiveness of the matrices compressions. That oriented to the procedures randomized machine learning. It is proposed to measure of effectiveness in the term of the Kullback-Leibler function.

Keywords:

randomized machine learning, entropy, KL-distance

pp. 3-7

References

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