Séminaires RALI-OLST

A User's Guide to AdaBoost

Balazs Kegl


Wednesday 31 March 2004 at 11:30 AM

Salle 3195, Pavillon André-Aisenstadt

AdaBoost and Support Vector Machines (SVM) are two classification algorithms that have been revolutionizing the technology of pattern recognition since the late nineties. Both algorithms require considerably less "engineering" and parameter tuning than Multilayer Neural Networks, their predecessor that ruled applied pattern recognition in the late eighties and early nineties. The main objective of this talk is to describe AdaBoost and some of its variants from a practitioner's point of view. First, I will outline the main intuitions behind the algorithm, provide the algorithmic details, and give a short demonstration on a two-dimensional dataset to illustrate the main ideas. Then I will show some of the most important extensions and variants of the basic algorithm. Finally, I will discuss the design of the expert pool through some applications in the areas of image and language processing.

Join with Zoom at this url.
Meeting ID: 916 9097 5818, 𝑷𝒂𝒔𝒔𝒄𝒐𝒅𝒆: 343273.
Phone numbers: https://umontreal.zoom.us/u/abitNZzLg.
One tap mobile: +14388097799,,91690975818#,,,,,,0#,,343273#

To receive weekly talk announcements, please send an e-mail to majordomo@iro.umontreal.ca. Simply write a message containing the single line 'subscribe ralli' (without the quotes).

See all the weekly talks for the year:

1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021