IAPR

Online demonstrations for machine learning



  1. Classification
    1. 2-D 2-class classification with Support Vector Machines (SVM) Tobias Denninger
    2. KNN (Jerry Zhu)
    3. Decision Trees (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    4. SVM (AT&T Research)
  2. Clustering
    1. K-means
    2. Fuzzy K-means
    3. Hierarchical
    4. Kohonen networks (Udo Lugauer, Stefan Grosse)
    5. Kohonen networks (Psychology, McMaster Univ.)
    6. 3D Kohonen feature map (Jochen Fröhlich)
  3. Evolutionary computation
    1. Genetic algorithm (David Eck)
  4. Generative methods
    1. Kalman filter demo (Greg Welch)
    2. The Bayesian Search Game (Marc Toussaint) : A game that serves as an introduction to the idea of Bayesian Search (works in Windows)
    3. HMM Bach ( Moray Allan and Chris Williams)
    4. Belief and Decision Networks (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    5. Inference methods (David MacKay)
  5. Neural networks
    1. Radial Basis Function Networks (Jesse W. Hong)
    2. Convolutional neural networks (Yann LeCun)
    3. Neural Network Learning (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    4. Hopfield Network Applet (Siripong Malasri)
  6. Parameter estimation/optimization techniques
    1. EM for Mixture models (Akaho)
  7. Regression
    1. A Backprop Learning Tool for Function Approximation (Paul Watta, Mohamad Hassoun, and Norman Dannug)
    2. Movies that teach about local polynomial smoothing (J. S. Marron, D. Ruppert, E. K. Smith and G. Conley)
  8. Reinforcement learning/Q-learning
    1. Reinforcement Learning Simulator (Rohit Kelkar and Vivek Mehta) in java
  9. Significant applications
    1. ICA (ICA Research at Helsinki University of Technology )
    2. Te-Won Lee's Blind source separation demo
    3. Robot Control (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
  10. Miscellaneous
    1. Various demos on Information theory, coding theory, source coding (David MacKay)
    2. Animations of Constraint Satisfaction Algorithms (Andrew Moore)
    3. Definite Clause Deduction (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    4. Graph Searching (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    5. Constraint Satisfaction Problem Solving (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    6. Stochastic Local Search (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    7. Planning (Wesley Coehlo, Nicole Arksey, and Shinjiro Sueda)

Return to Student/Researcher Resource page



Valid XHTML 1.0!

© 2008 Robert Fisher