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GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
13 years 11 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
JOT
2010
124views more  JOT 2010»
13 years 3 months ago
Improving Learning Object Reuse Through OOD: A Theory of Learning Objects
The concept of a learning object (LO) has spread quickly without a very specific universal definition, and though born originally from the idea of object oriented design, with a ...
Claudine A. Allen, Ezra K. Mugisa
CVPR
1997
IEEE
13 years 9 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
SIGCSE
1996
ACM
163views Education» more  SIGCSE 1996»
13 years 9 months ago
Database theory in practice: learning from cooperative group projects
lhis paper describes the use of cooperative group learning concepts in support of an undergraduate database mrtnagement course that emphasizes the theoretical and practical aspect...
Suzanne W. Dietrich, Susan Darling Urban
ICPR
2002
IEEE
14 years 6 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...