56 search results - page 5 / 12 » Semi-Supervised Ensemble Ranking |
SDM
2012
SIAM
12 years 12 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
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ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
TSMC
2008
14 years 9 months ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
MCS
2007
Springer
15 years 3 months ago
2007
Springer
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...