Pages that link to "Item:Q2714854"
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The following pages link to An approach to the automatic design of multiple classifier systems (Q2714854):
Displaying 14 items.
- A self-trained ensemble with semisupervised SVM: an application to pixel classification of remote sensing imagery (Q622001) (← links)
- Greedy optimization classifiers ensemble based on diversity (Q632627) (← links)
- Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas (Q710628) (← links)
- Using boosting to prune double-bagging ensembles (Q961263) (← links)
- Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview (Q1849245) (← links)
- Recursive partitioning technique for combining multiple classifiers (Q1857542) (← links)
- A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates (Q2218385) (← links)
- Selected tree classifier combination based on both accuracy and error diversity (Q2485044) (← links)
- (Q2777433) (← links)
- An extension of the \(Q\) diversity metric for information processing in multiple classifier systems: a field evaluation (Q2867974) (← links)
- An anticorrelation kernel for subsystem training in multiple classifier systems (Q2880965) (← links)
- (Q3535281) (← links)
- Multiple Classifier Systems (Q3634643) (← links)
- Computer Vision - ECCV 2004 (Q5713826) (← links)