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GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
Classifier_gaussian
- The code is for Classification using Gaussian Method on the Multi Variate Dataset with no missing values.
深度神经网络
- It provides deep learning tools of deep belief networks (DBNs).-Run testDNN to try! Each function includes descr iption. Please check it! It provides deep learning tools of deep belief networks (DBNs) of stacked restricted Boltzmann machines (RBMs).
Bayes_Classifier
- Bayes classifier Step 1. : Generate an arbitrary 3-class dataset with bi-variate Gaussian distribution. Step 2. : If three arbitrary samples are given as follows, determine to which class (as each class is generated by Step 1) each sample s
Maximum-Likelihood-Estimation
- Maximum Likelihood Estimation Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation An arbitrary 3-class dataset is given (by Dataset.mat) and t