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» Combinations of Weak Classifiers
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113
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IJON
2008
116views more  IJON 2008»
15 years 2 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho
93
Voted
CG
2005
Springer
15 years 2 months ago
An image-based, trainable symbol recognizer for hand-drawn sketches
We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. An ensemble of four differ...
Levent Burak Kara, Thomas F. Stahovich
124
Voted
ICIP
2009
IEEE
15 years 11 days ago
Multiscale AM-FM analysis of pneumoconiosis x-ray images
This paper presents a computer-aided diagnostic (CAD) system for analyzing chest radiographs based on the International Labor Organization (ILO) standards. We introduce an amplitu...
Víctor Murray, Marios S. Pattichis, Herbert...
137
Voted
TCBB
2011
14 years 9 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
131
Voted
ICML
2000
IEEE
16 years 3 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh