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5720 (Lecture 3 (Discriminant Functions (scalar features) (Linear…

- - - - The order M.
      - polynomial coefficients w
    - - Root-Mean-Square (RMS) Error
    - - modified error function
    - - Training set
      - Validation set
      - Testing set
      - K-Fold Cross Validation
- - - - priori probability
      - posteriori probability
  - - - Bernoulli Random Variable
      - The Binomial Random Variable
      - Gaussian Random Variable
    - - the mean: m
      - the standard deviation: σ
      - variance:σ2
  - - - sum rule
- - - - Linear Discriminant Functions
        
        Least Squares
        
        Fisher Linear Discriminant Analysis
        
        Maximizing mean separation
        
        Fischer criterion
        
        Perceptron
        
        Perceptron Algorithm
        
        Perceptron Learning Algorithm
        
        Perceptron criterion
        
        Parameter optimization
        
        Batch Gradient Descent
        
        Stochastic Gradient Descent
        
        Better redundancy handling
        
        Escape from local minima
        
        Iterative weight updates via gradient descent
      - Nonlinear Basis Functions
    - - Logistic regression