| Paper: | MLSP-P3.6 |
| Session: | Statistical Modelling Techniques |
| Session Time: | Wednesday, April 22, 15:30 - 17:30 |
| Presentation Time: | Wednesday, April 22, 15:30 - 17:30 |
| Presentation: |
Poster
|
| Topic: |
Machine Learning for Signal Processing: Bayesian Learning and Modeling |
| Paper Title: |
A MAP APPROACH TO LEARNING SPARSE GAUSSIAN MARKOV NETWORKS |
| Authors: |
Narges Bani Asadi; Stanford University | | |
| | Irina Rish; IBM T. J. Watson Research Center | | |
| | Katya Scheinberg; IBM T. J. Watson Research Center | | |
| | Dimitri Kanevsky; IBM T. J. Watson Research Center | | |
| | Bhuvana Ramabhadran; IBM T. J. Watson Research Center | | |