Machine Learning Reading Group (MLRG) @ SAIL, USC
Fall 2014 Schedule (2.30 pm Monday in RTH 320)
Fodor, Imola K. A survey of dimension reduction techniques. (2002).
Tipping, M. E., & Bishop, C. M. (1999).Probabilistic principal component analysis. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61(3), 611-622.
Discussion Leader: Jangwon Kim
J. Silva, S. Narayanan Minimum Probability of Error Signal Representation, Proc. MLSP, 2007 (pp. 348-353).
Discussion Leader: Naveen Kumar
H. P. Martinez, G. N. Yannakakis, J. Hallam, Don't Classify Ratings of Affect; Rank them! IEEE Transactions on Affective Computing, Aug, 2014
Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., & Hullender, G., Learning to rank using gradient descent. Proc. 22nd international conference on Machine learning (pp. 89-96). ACM.
Discussion Leader : Rahul Gupta
Voinea, S., Zhang, C., Evangelopoulos, G., Rosasco, L., & Poggio, T. (2014). Word-level Invariant Representations From Acoustic Waveforms. Proc. Interspeech 2014.
Discussion Leader : Chewei Huang
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