Machine Learning

• Simple binary classification:

  • Majority classifier
  • Even/Odd classifier

• Logistic Regression

  • AdaGrad: adaptively alter learning rates

• Support Vector Machine

  • Pegasos: Primal Estimated sub-GrAdient SOlver for SVM

• Gradient based learning for Restricted Boltzmann Machine

  • Expectation–Maximization

• Loopy Belief Propagation for loopy MRF calculation

• Approximate Inference on RBM

  • based on Stochastic Sampling