Yakubovich's method of recursive objective inequalities in machine learning
Year: 2022
Type: article
Abstract: “Stripe” algorithm was designed by V.A. Yakubovich as an algorithm for linear classification model training. The basic approach is to reduce loss minimization problem to solving a system of infinite number of inequalities. The present paper considers various forms of this reduction as well as its practical applicability. Obtained algorithms are experimentally compared with traditional linear models such as logistic regression and linear regression trained using stochastic gradient descent. Simulation results show that the “Stripe” algorithm possesses fast convergence and in particular suitable well in the paradigm of online machine learning.
Source: IFAC-PapersOnLine
Author: Mikhail Lipkovich
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4289768547
