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JMLR
2010
154views more  JMLR 2010»
14 years 4 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...
CIARP
2007
Springer
15 years 1 months ago
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
Ricardo Ñanculef, Carlos Valle, Héct...
AAAI
2008
15 years 1 days ago
Constraint Projections for Ensemble Learning
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang ...
CVPR
2011
IEEE
14 years 6 months ago
Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition
Automatic face photo-sketch recognition has important applications to law enforcement. Recent research has focused on transforming photos and sketches into the same modality for m...
Wei Zhang, Xiaogang Wang, Xiaoou Tang
COLING
2010
14 years 4 months ago
The True Score of Statistical Paraphrase Generation
This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The f...
Jonathan Chevelu, Ghislain Putois, Yves Lepage