MLDemos Graphical User Interface |
Different visualizations and parameter effects
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Visualizations of sample plots, densities and correlations |
SVM+RBF classification |
Sparse Gaussian Process Regression |
Dynamical Systems (SEDS) with Obstacle Avoidance
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Kernel PCA Isolines |
Reward Maximization with Genetic Algorithms
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Support Vector Regression with RBF kernel |
Relevance Vector Machine classification with RBF kernel |
Boosting with Random Circles Weak Learners |
Multi-Class SVM with RBF kernel |
Clustering with Gaussian Mixture Models |
Growing Hierarchical Self Organizing Maps |