Based on the graphic theory and improved genetic algorithm,an improved genetic algorithm to search the minimum spanning trees is given . The algorithm uses binary code to represent the problem of ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model ...

This repository contains all the algorithms implementation & problems solution, assignment solution, Interview question solution & other related materials (Slides, Resources) related to Princeton ...

In 1983, Gallager, Humblet, and Spira published a distributed algorithm for computing a minimum spanning tree. For several years, I regarded it as a benchmark problem for verifying concurrent ...

1 College of Information and Computer, Taiyuan University of Technology, Taiyuan, China 2 Center of Information Management and Development, Taiyuan University of Technology, Taiyuan, China ...

It is accepted wisdom in computer science that the dynamics of software systems are inherently discontinuous, and that this fact makes them fundamentally different from physical systems. More than 25 ...