University of Southern California

Machine Learning Reading Group (MLRG) @ SAIL, USC

   

Spring 2012 Schedule (11 am Tuesday in RTH 320)

  • 5 Jun 2012

Y. Chen, J. Bi, and J. Z. Wang, MILES: Multiple-instance learning via embedded instance selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, December 2006.

Discussion Leader: Jimmy Gibson

  • 29 May 2012

O. Maron and T. Lozano-Perez, A framework for multiple instance learning, Proc. NIPS, 1998.

Q. Zhang and S. A. Goldman, EM-DD: An improved multiple-instance learning technique, Proc. NIPS, 2001.

Discussion Leader: Jimmy Gibson

  • 8 May 2012

G. Hinton, S. Osindero, and Y-W. Teh, A fast learning algorithm for deep belief nets, Neural Computation, 2006.

Discussion Leader: Kartik Audhkhasi

  • 1 May 2012

D. Yu and L. Deng, Deep learning and its applications to signal and information processing, IEEE Signal Processing Magazine, January 2011.

G. Hinton, S. Osindero, and Y-W. Teh, A fast learning algorithm for deep belief nets, Neural Computation, 2006.

Discussion Leader: Kartik Audhkhasi

  • 15 Apr 2012

D. M. Blei, A. Y. Ng and M.I. Jordan, Latent Dirichlet Allocation, Journal of Machine Learning Research, pp. 993-1022, January 2003.

Discussion Leader: Jangwon Kim

  • 20 March 2012

P. M. Djuric and Y. Wang, Distributed Bayesian learning in multiagent systems: Improving our understanding of its capabilities and limitations, IEEE Signal Processing Magazine, vol. 29, no. 2, March 2012.

Discussion Leader: Rahul Gupta

  • 21 Feb 2012

B. Efron, Bootstrap methods: Another look at the jackknife, The Annals of Statistics, vol. 7, no. 1, pp. 1-26, 1979.

Discussion Leaders: Vikram Ramanarayanan, Kartik Audhkhasi

  • 14 Feb 2012

A. M. Zoubir and D. R. Iskander, Bootstrap methods and applications: A tutorial for the signal processing practitioner, IEEE Signal Processing Magazine, vol. 24, no. 4, pp. 10-19, July 2007.

Discussion Leader: Vikram Ramanarayanan, Kartik Audhkhasi

  • 7 Feb 2012

T. Dietterich, Approximate statistical tests for comparing supervised classification learning algorithms, Neural Computation, vol. 10, no. 7, pp. 1895-1923, October 1998.

Discussion Leader: Naveen Kumar

  • 31 Jan 2012

T. Ide, Why subsequence time-series clustering produces sine waves?, Proc. KDD, 2006.

Discussion Leaders: Vikram Ramanarayanan, Nassos Katsamanis

  • 13 Jan 2012

E. Keogh and J. Lin, Clustering of time series subsequences is meaningless: Implications for previous and future research, Knowledge and Information Systems, vol. 8, no. 2, pp. 154-177, 2005.

Discussion Leaders: Vikram Ramanarayanan, Nassos Katsamanis