INVITED LECTURES and TUTORIALS

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INVITED LECTURES

Ø Predictive Learning with Sparse Heterogeneous Data, IJCNN-2009, Atlanta GA, http://cnd.memphis.edu/ijcnn2009/Invited-Speakers.html

Ø Predictive Data Modeling and the Nature of Scientific Discovery, presented at WorldComp-2010, http://www.worldacademyofscience.org/worldcomp10/ws/keynotes

HOME

· PEOPLE

· PUBLICATIONS

- Learning Methods and Algorithms

- Applications

·

TUTORIALS

Ø Non-Inductive Approaches for Learning with Sparse Data, IJCNN-2007, http://sites.google.com/site/ciseducationsite/home/other-tutorials-by-cis

Ø Short course on Support Vector Machines and Predictive Data Modeling Methodology, Chicago Chapter of the American Statistical Association (ASA), Chicago IL, 2009, http://www.chicagoasa.org/Workshops/e032610.htm

Ø Tutorial at WorldComp-2010,

http://www.world-academy-of-science.org/worldcomp10/ws/tutorials

Ø Advanced Methodologies for Learning with Sparse Data, IJCNN-2011, San Jose CA, http://www.ijcnn2011.org/tutorial.php (description)

Ø Support Vector Machines and Predictive Data Modeling, presented at Tech Tune Up, ECE Department, University of Minnesota, June 1, 2011

– Part 1

– Part 2

– Part 3

– Part 4

INVITED LECTURES and TUTORIALS

PROJECT DESCRIPTION

· ALTERNATIVE LEARNING METHODS

· PHILOSOPHICAL CONNECTIONS

· SOFTWARES

- SVM+ and SVM+ Multi-Task Learning Classification

- SVM+ and SVM+ Multi-Task Learning Regression

- Universum SVM

· APPLICATIONS and DATA SETS