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

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
Scientific Research Publishing

Pham, H., Nguyen, H., Le, K., Tran, T., & Ha, N. (2023). Automated Mapping of Wetland Ecosystems: A Study Using Google Earth Engine and Machine Learning for Lotus Mapping in ...

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 ...
Visual Studio Magazine

Naive Bayes Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
IEEE

Comparison of Novel Random Forest Algorithm over Gaussian Naïve Bayes for Improving Accuracy in Software Bug Prediction System

Abstract: This research work focuses on analyzing the performance of a proposed random forest (RF) method with that of Gaussian Naive Bayes in predicting software problems. The database utilized in ...
IEEE

Using Multinomial Naive Bayes Machine Learning Method To Classify, Detect, And Recognize Programming Language Source Code

Abstract: Processing programming languages are very similar to processing natural languages, especially high-level languages such as Python, Java, C#, C, C++, and others. Therefore, the natural ...
GitHub

naive-bayes

Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work ...