Data-Dependent Complexity of First-Order Methods for Support Vector Machines

Large-scale problems in data science are often modeled with optimization and solved with first-order methods that may converge at a sublinear rate. It is of interest to terminate the optimization algorithm as soon as the underlying data science task is accomplished. We analyze the complexity of first-order methods for support vector machines (SVMs) in terms … Read more

Optimal threshold classification characteristics

This study looks at the application of mathematical concepts of entropy and Fibonacci sequence in creating optimal dimensional relations of classification character. The paper is devoted to optimization of some numerical relations and integers as unified threshold characteristics of classification type, aimed for example at systemic optimizing the measuring information of various processes. The paper … Read more