Introduction to Boosting
published: Feb. 25, 2007, recorded: August 2006, views: 2406
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.
This course provides an introduction to theoretical and practical aspects of Boosting and Ensemble Learning. I will begin with a short description of the learning theoretical foundations of weak learners and their linear combination. Then we point out the useful connection between Boosting and the Theory of Optimization, which facilitates the understanding of Boosting and later on enables us to move on to new Boosting algorithms, applicable to a broader spectrum of problems. In the course we will discuss "tricks of the trade", algorithmic issues, experimental results and a few applications.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !