Spring 2011 Schedule (4 pm Tuesday in RTH 320)

• 19 Apr and 3 May 2011

M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, L. K. Saul, An introduction to variational methods for graphical models, Machine Learning, vol. 37, pp. 183-233, 1999.

Discussion Leader: Kartik Audhkhasi

• 12 Apr 2011

Z. Ghahrahamani, Graphical models, Machine Learning Summer School, 2007.

• 8 Apr 2011

X. He, L. Deng and W. Chou, Discriminative learning in sequential pattern recognition, IEEE Signal Processing Magazine, vol. 14, September 2008.

Discussion Leaders: Prasanta Ghosh, Kartik Audhkhasi

• 22 Mar 2011

George Bekey Lecture in CS department by M. Jordan on “Completely random measures for Bayesian nonparametrics”.

• 15 Mar 2011

W. Chu and Z. Ghahramani, Gaussian Processes for Ordinal Regression, Journal of Machine Learning Research, vol. 6, pp. 1-48, June 2005.

Discussion Leaders: Bo Xiao, Naveen Kumar

• 1 Mar 2011

Y. Zhang and Q. Li, Active and dynamic information fusion for multisensor systems with dynamic Bayesian networks, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 36, no. 2, April 2006.

Discussion Leaders: Bo Xiao, Angeliki Metallinou

• 15 Feb 2011

G. Hinton, Deep belief networks, Machine Learning Summer School, 2009, Cambridge, UK.

• 8 Feb 2011

N. Poh and S. Bengio, How do correlation and variance of base-experts affect biometric fusion authentication tasks?, IEEE Transactions on Signal Processing, vol. 53, no. 11, November 2005.

Discussion Leaders: Ming Li, Kartik Audhkhasi

• 1 Feb 2011

Z. Ghahrahamani, Graphical models, Machine Learning Summer School, 2007.

• 25 Jan 2011

R. Albert and A. L. Barabasi, Statistical mechanics of complex networks, Reviews of Modern Physics, 2002.

Discussion Leaders: Dogan Can, Nassos Katsamanis, Kartik Audhkhasi

• 18 Jan 2011

T. Joachims, Structured Output Prediction with Structural SVMs, 6th International Workshop on Mining and Learning with Graphs, 2008.