1. Explain shortly the relations between following concepts: PNN (Probabilistic Neural Net), RBF (Radial Basis Function network), GMM (Gaussian Mixture models) and Parzen window estimation.
2. Both case studies presented here use neural nets and hidden Markov models. What is the fundamental difference between these two approaches ?