Structured Linear Models
published: Feb. 25, 2007, recorded: July 2006, views: 7267
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Over the last five years, we have been able to extend the theory of linear classifiers to structure prediction problems, combining the benefits of discriminative learning and of structured probabilistic models like hidden Markov models. I will review these models and their learning algorithms, and exemplify their use in text processing, with a focus on information extraction from biomedical text.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !