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» Using Classifiers to Solve Warehouse Location Problems
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TSMC
1998
78views more  TSMC 1998»
14 years 9 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
HIS
2008
14 years 11 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
ICDAR
2003
IEEE
15 years 3 months ago
Binary Classification Trees for Multi-class Classification Problems
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Jin-Seon Lee, Il-Seok Oh
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 1 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
CORR
2011
Springer
160views Education» more  CORR 2011»
14 years 4 months ago
When is social computation better than the sum of its parts?
good solutions to complex problems. In many examples, individuals trying to solve superior global solution. This suggests that there may be general principles of information aggre...
Vadas Gintautas, Aric A. Hagberg, Luís M. A...