Abstract: We propose a bisection method for varying classification threshold value for cost sensitive neural network learning. Using simulated data and different cost asymmetries, we test the proposed ...

The Bisection Method is a numerical technique to find roots of a continuous function f(x). The method works by repeatedly dividing an interval [a, b] in half and selecting the subinterval in which the ...

Abstract: This research paper presents a comprehensive comparative analysis of root-finding methods for nonlinear functions using Python programming language. The study focuses on three widely used ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

ABSTRACT: Estimation of the unknown mean, μ and variance, σ2 of a univariate Gaussian distribution given a single study variable x is considered. We propose an approach that does not require ...

ABSTRACT: We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem ...