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Classification Methods in Signal Processing - Sylabus

1. Hypotheses testing (allowance 1/1)

2. Parameter estimation methods (allowance 2/2)
     a. ML, MAP, MSE
     b. Gaussian mixture model, EM algorithm

3. Dimension reduction methods (allowance 2/2)
     a. PCA, LDA
     b. HLDA

4. Neural networks (allowance 2/2)
     a. Introduction, MLP
     b. RBF

5. Stochastic optimization methods (allowance 3/3)
     a. Introduction, Simulating annealing
     b. Genetic algorithms
     c. Evolutional strategies

6. Selected classification algorithms (allowance 2/2)
     a. KNN
     b. Decision trees