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lecture_notes
  • Week 4-5: Discriminative Models: Statistical Learning theory; Perceptron; Linear Regression; Minimum Classification Error; Support Vector Machines (SVM); Ridge Regression; LASSO; Compressed Sensing
  • Week 7: Bayesian Decision Rule: MAP decision rule; The Bayes Error; Statistical Data Modelling; Generative vs. Discriminative models
  • Week 9: Graphical models: Bayesian Networks vs Markov random fields; Conditional independence; Inference in graphical models; belief propagation; variational inference
lecture_notes.txt · Last modified: 2019/11/13 16:42 by hj