Explore MATLAB source code curated for "朴素贝叶斯" with clean implementations, documentation, and examples.
MATLAB code implementation with dataset specifications - This implementation follows the Naive Bayes principle for text classification using numerical encoding for categorical data, featuring training-test split configuration and probability calculation methodology.
A custom Tri-training algorithm implementation leveraging Support Vector Machines, K-Nearest Neighbors, and Naive Bayes classifiers for collaborative training with code-level integration details
This article presents a MATLAB implementation of the Naive Bayes algorithm, including core concepts, code structure, optimization techniques, and practical applications with enhanced technical descriptions.
This assignment implements text classification using K-Nearest Neighbors (KNN), Naive Bayes (NB), and Support Vector Machine (SVM) algorithms, complete with datasets and a detailed experimental report covering implementation methodologies, performance analysis, and comparative evaluation of each approach.
A Naive Bayes classification exercise tested on the breast cancer dataset from the UCI Machine Learning Repository
Naive Bayes Classification Algorithm with Probability Modeling
MATLAB Implementation of Naive Bayes Classification with Probability Calculations and Classification Decision Mechanisms
Naive Bayes Classifier Implementation and Algorithm Overview
Hands-on Exercise on Naive Bayes Classification with Medical Diagnosis Application