Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
IEEE

A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection

Abstract: Datasets used in data analysis often contain irrelevant or redundant attributes. These attributes hinder the performance of predictive models. Therefore, an effective preprocessing feature ...
IEEE

Evolutionary Streaming Feature Selection via Incremental Feature Clustering

Abstract: In many real-world scenarios, features could arrive in groups over time, and the total size of the feature space is often unknown. Streaming feature selection is a commonly-used approach to ...
GitHub

MATLAB MCP Core Server

Install MATLAB (MathWorks) 2020b or later and add it to the system PATH. Add the MATLAB MCP Core Server to your AI application. You can find instructions for adding MCP servers in the documentation of ...