DRASO: Declaratively Regularized Alternating Structural Optimization
published: Aug. 11, 2008, recorded: July 2008, views: 189
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.
Recent work has shown that Alternating Structural Optimization (ASO) can improve supervised learners by learning feature representations from unlabeled data. However, there is no natural way to include prior knowledge about features into this frame- work. In this paper, we present Declar- atively Regularized Alternating Structural Optimization (DRASO), a principled way for injecting prior knowledge into the ASO framework. We also provide some analysis of the representations learned by our method.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !