University of Southern California

Machine Learning Reading Group (MLRG) @ SAIL, USC

   

Fall 2014 Schedule (2.30 pm Monday in RTH 320)

  • 1 Dec 2014

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

  • 17 Nov 2014

J. Silva, S. Narayanan Minimum Probability of Error Signal Representation, Proc. MLSP, 2007 (pp. 348-353).

Discussion Leader: Naveen Kumar

  • 3 Nov 2014

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

  • 20 Sep 2014

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