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FLAIRS
2007
15 years 8 months ago
Pursuing the Best ECOC Dimension for Multiclass Problems
Recent work highlights advantages in decomposing multiclass decision problems into multiple binary problems. Several strategies have been proposed for this decomposition. The most...
Edgar Pimenta, João Gama, André Carl...
CVPR
2009
IEEE
17 years 1 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
CEC
2007
IEEE
16 years 23 days ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 11 months ago
The standard parts problem and the complexity of control communication
The objective of the standard parts optimal control problem is to find a number, m, of control inputs to a given input-output system that can be used in different combinations to...
John Baillieul, Wing Shing Wong
ECAI
2006
Springer
15 years 8 months ago
Solving Optimization Problems with DLL
Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different applicati...
Enrico Giunchiglia, Marco Maratea