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Large scale document classification with the Shogun Machine Learning Toolbox

Clustering with KMeans in Shogun Machine Learning Toolbox

Neural Nets for Digit Classification

Kernel Density Estimation

Decision Trees

K-Nearest Neighbors (KNN)

Metric Learning with the Shogun Machine Learning Toolbox

General Structured Output Models with Shogun Machine Learning Toolbox

Principal Component Analysis in Shogun

Gaussian Processes in Shogun

Dimensionality Reduction with the Shogun Machine Learning Toolbox

Binary Image Denoising

Fetal Electrocardiogram Extraction by Source Subspace Separation

Multiple Kernel Learning

Multiclass Reductions

Blind Source Separation on Images with Shogun

Blind Source Separation with the Shogun Machine Learning Toolbox

Implement estimators of large-scale sparse Gaussian densities

Visual Comparison Between Different Classification Methods in Shogun

Ensemble of Decision Trees

Classification with Support Vector Machines

Variational Inference for Gaussian Process Classification Models

Kernel hypothesis testing in Shogun

Multi-Label Classification with Shogun Machine Learning Toolbox

Naive Bayes

Gaussian Mixture Models and Expectation Maximisation in Shogun

Restricted Boltzmann Machines & Deep Belief Networks

Regression Models

Evaluation, Cross-Validation, and Model Selection

Machine Learning with Shogun