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SAC
2010
ACM
14 years 10 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
122
Voted
WSC
1997
15 years 5 months ago
Applications of the Universal Joint Task List to Joint Exercise Results
The foundation of readiness is training. The Chairman, Joint Chiefs of Staff (CJCS) Joint Training Program institutes methods for identifying training requirements through review ...
Sam H. Parry, Michael C. McAneny, Richard J. Drome...
140
Voted
JPDC
2007
177views more  JPDC 2007»
15 years 3 months ago
Adaptive decomposition and remapping algorithms for object-space-parallel direct volume rendering of unstructured grids
Object space (OS) parallelization of an efficient direct volume rendering algorithm for unstructured grids on distributed-memory architectures is investigated. The adaptive OS de...
Cevdet Aykanat, Berkant Barla Cambazoglu, Ferit Fi...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 1 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
166
Voted
WACV
2005
IEEE
15 years 9 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller