Lectures:

April 1:

1. Vladimir Ouzienko: Markov Chains, Simulated Annealing and Boltzman Machine (chapter 11)
2. Dairong Wong: Self-Organizing Maps (chapter 9)
3. George Mathew: Recurrent Neural Networks for Music Computation (J.A. Franklin, IJOC 2006)

April 8:

1. Debashish Das: Active Learning in Neural Networks
2. Coric Vladimir: Self- taught Learning: Transfer Learning from Unlabeled Data (R. Raina et al, ICML 2007)
3. Fei Huan: Kernel Perceptron

April 15:

1. Kosta Ristovski: Mixture Density Networks (C. Bishop, Aston Univ. 1994)

2. Qiang Lou: Supervised Feature Selection via Dependence Estimation.  (Le Song et al, ICML 2006)

3. Tatyana Nazhnaya: Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models (N. Lawrence JMLR 2005)