Computer Science and Engineering Pattern recognition Experiments

MLE: Learning the Classifier from Data

The high level goals of the experiment are:

  1. To understand the modelling of a class in terms of density functions and priors.
  2. To understand the estimation of the parameters of a model from a set of samples.
  3. To understand the effect of sample size on decision boundary.