Explore MATLAB source code curated for "机器学习算法" with clean implementations, documentation, and examples.
A comprehensive machine learning algorithm package featuring neural networks, fuzzy logic, and support vector machines, implemented on the MATLAB platform with structured code organization and modular function design.
Machine learning algorithms built on the sparse Bayesian framework provide effective solutions for regression and classification prediction tasks while demonstrating strong generalization capabilities through automatic relevance determination and feature selection mechanisms.
Implementing emotion recognition from speech using machine learning algorithms in MATLAB with excellent performance results, highly recommended for practical applications featuring code implementation insights and algorithm explanations.
deepLearnToolbox-master is a comprehensive deep learning package for MATLAB containing various machine learning algorithms including Convolutional Neural Networks (CNN), Deep Belief Networks (DBN), and AutoEncoders (Stacked SAE, Convolutional CAE). The package was developed by Rasmus Berg Palm.