Abstract: This paper examines Decision Tree Classifier (DTC) Machine Learning (ML) algorithms that are constructed using node-splitting techniques, including variance-related measures, Statistical ...

In this chapter, we use a search tree structure to efficiently implement a sorted map. The three most fundamental methods of a map M are M[k] implemented with __getitem, M[k] = v using __setitem__ and ...

Abstract: High-dimensional data is a critical element that significantly impacts the detection accuracy and computational efficiency of network intrusion detection models. Models in this field rely ...

This paper first discusses the storage structure of trees, selects a convenient storage method for solving the nullity of trees, and then applies the relationship between the maximum matching number ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K. School of Computer Science, University of Nottingham, Jubilee Campus ...

The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...

This mini-project has been completed as part of a Data Structures course objective. Through this project, we aim to use Queue and Binary Search Tree data structures to understand two different ...