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» When Semi-supervised Learning Meets Ensemble Learning
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IEEECIT
2007
IEEE
14 years 1 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
ICML
2003
IEEE
14 years 7 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
IJKL
2007
46views more  IJKL 2007»
13 years 6 months ago
Trialogical learning in public: FlashMeeting recording and reuse in a peer-learning context
: Online meetings are increasingly popular in support of technology-enhanced learning collaboration. When these virtual meetings are recorded and shared in the host community and b...
Peter J. Scott, Linda J. Castaneda, Kevin Quick, J...
IJON
2006
161views more  IJON 2006»
13 years 6 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
ICANN
2005
Springer
14 years 4 days ago
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...