Making sense of sequence data: a Bayesian approach
Event details
| Date | 18.04.2011 |
| Hour | 11:00 |
| Speaker | Dr. Sharon Goldwater, University of Edinburgh |
| Location |
MEB110
|
| Category | Conferences - Seminars |
Supervised machine learning approaches have led to huge advances in
many AI applications over the last 20 years, yet there are many
domains where supervised training data is scarce, unavailable, or
prohibitively costly. Therefore, developing improved unsupervised
techniques is critical. This talk will focus on unsupervised
learning from sequence data, and how ideas from Bayesian statistics
can be used to improve the latent structures that are identified.
Practical information
- General public
- Free
Contact
- Daniel Grollman