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» On the Use of Evidence in Neural Networks
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ANNPR
2006
Springer
15 years 10 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
BIRD
2007
Springer
16 years 23 days ago
Analysing Periodic Phenomena by Circular PCA
Experimental time courses often reveal a nonlinear behaviour. Analysing these nonlinearities is even more challenging when the observed phenomenon is cyclic or oscillatory. This me...
Matthias Scholz
MLDM
2007
Springer
16 years 22 days ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
WISE
2006
Springer
16 years 18 days ago
Finding Reliable Recommendations for Trust Model
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...
IJCNN
2000
IEEE
15 years 11 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio