GitHub

General and weighted naive Bayes classifiers

Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...
Scientific Research Publishing

Adugna, T., Xu, W., & Fan, J. (2022). Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images ...

ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
Scientific Research Publishing

Comparative Analysis of Machine Learning Algorithms for Optimal Land Use and Land Cover Classification: Guiding Method Selection for Resource-Limited Settings in Tiaty, Baringo ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...
mccormick.northwestern.edu

Four Students Receive Honorable Mention in CRA Undergraduate Research Awards

Four Northwestern Computer Science students — Brian Chen, Kevin Hayes, Sean Rhee, and Marko Veljanovski — received honorable mentions in the Computer Research Association (CRA) 2024-2025 Outstanding ...
IEEE

An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction

Abstract: The Bayes-optimal classifier is defined as a classifier that induces an hypothesis able to minimize the prediction error for any given sample in binary ...