Kotropoulos

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)... Platforms: Matlab

The DEMO includes 5 feature selection algorithms:d-deD? Sequential Forward Selection (SFS)d-deD? Sequential Floating Forward Selection (SFFS)d-deD? Sequential Backward Selection (SBS)d-deD? Sequential Floating Backward Selection (SFBS)d-deD? ReliefFTwo CCR estimation methods:d-deD?... Platforms: Matlab