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 University of Colorado at Boulder
Department of Computer Science
ECOT 717 Engineering Center
Campus Box 430
Boulder, Colorado 80309-0430
(303) 492-7514, FAX: (303) 492-2844

CS COLLOQUIUM

Learning with Costs
Dragos Margineantu
Oregon State University

January 25, 2001
3:30 - 4:30 PM
Engineering Center Classroom 265

Refreshments will be served afterwards in ECOT 831

Cost-sensitive learning addresses the task of learning to make predictions
and decisions when different types of errors have different associated
costs (penalties). Existing learning algorithms were designed to treat all
errors the same and to minimize the number of errors that are made. In most
practical applications, however, different errors have different costs, and
methods are required that can minimize the total cost of all errors. For
example, in medical diagnosis, the cost of diagnosing a patient as healthy
when he or she has a life-threatening disease is much higher than the cost
of making the opposite mistake. 

The talk will first outline the issues that need to be considered in
designing and evaluating learning methods for the minimization of total
cost. Then I will review the current approaches to constructing learning
algorithms in a cost-sensitive context. Finally, I will introduce new
methods for building and evaluating cost-sensitive learning systems and
present experiments that compare different cost-sensitive methods on both
real-world and synthetic data sets. 


Host: Mike Mozer and Jim Martin
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http://www.cs.colorado.edu/department/events/colloquia/colloquia.html

Sign Language Interpreters Available Upon Request.  Please contact Jane
Obrecht, Department of 
Computer Science, Engineering  ECOT 722, 303-492-6101, at least five days
prior to the colloquium.


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Jane Obrecht
Assistant to the Chair
University of Colorado at Boulder
Computer Science Department
Campus Box 430
obrecht@cs.colorado.edu
(303) 492-6101, fax (303) 492-2844
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