[Solved] CS5691: Pattern recognition and Machine Learning Programming Assignment III

Dataset 1: 2-dimensional artificial data:

• Linearly separable data set for static pattern classification
• Nonlinearly separable data set for static pattern classification Dataset 2: Image data set for static pattern classification

Classifiers to be built for Dataset 1(a):

1. Perceptron for every pair of classes
2. Multilayer feedforward neural network (MLFFNN) with a single hidden layer for all classes
3. Linear SVM classifier for every pair of classes

Classifiers to be built for Dataset 1(b) :

1. MLFFNN with two hidden layers
2. Nonlinear SVM using one-against-the-rest approach : (a) Polynomial kernel, (b) Gaussian kernel

Classifiers to be built for Dataset 2:

1. MLFFNN with two hidden layers
2. Gaussian kernel based SVM using one-against-the-rest approach