Inductive transfer via embeddings into a common feature space
published: Feb. 25, 2007, recorded: July 2006, views: 3351
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.
We consider the situation in which there is a basic learning task but different sub-tasks define different data generating distributions. Examples include learning to identify spam for various different email users, or parts-of-speech tagging for different text corpora. Our goal is to allow the use of training data coming from one sub-task for prediction under another sub-task distribution.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !