[Lisa_seminaires] REMINDER: UdeM-McGill-MITACS machine learning seminar Tue May 27th, 10:00am, MC437
Dumitru Erhan
erhandum at IRO.UMontreal.CA
Lun 26 Mai 10:02:47 EDT 2008
This week's UdeM-McGill-MITACS seminar (see
http://www.iro.umontreal.ca/article.php3?id_article=107&lang=en ):
Learning in the Sample Compression Framework
by Mohak Shah,
Probabilistic Vision Group
Centre for Intelligent Machines
McGill University
Location: McConnell Engineering (McGill), room 437
Time: May 27th 2008, 10am
This talk will focus on the algorithms’ learning capabilities under the
Sample Compression framework highlighting some of the advantages over
other learning paradigms. We will show how theoretically motivated
algorithms with practical realizable generalization error bounds can be
obtained and further how these risk bounds can be utilized to guide the
model selection. As a special case, we will focus on decision based
classifiers (e.g. learning conjunctions or disjunctions of
data-dependent features) and show how performances comparable to and in
some cases better than the state-of-the-art learning algorithms such as
SVM can be obtained.
Plus d'informations sur la liste de diffusion Lisa_seminaires