Dynamically building diversified classifier pruning ensembles via canonical correlation analysis
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DOI: 10.1007/s11042-018-5718-x
Abstract: Empirical studies on ensemble learning that combines multiple classifiers have shown that, it is an effective technique to improve accuracy and stability of a single classifier. In this paper, we propose a novel method of… read more here.
Keywords: diversified classifier; canonical correlation; dynamically building; building diversified ... See more keywords
Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data
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DOI: 10.1007/s13755-017-0025-x
Abstract: PurposeIt is common that a trained classification model is applied to the operating data that is deviated from the training data because of noise. This paper will test an ensemble method, Diversified Multiple Tree (DMT),… read more here.
Keywords: trees classification; building diversified; biomedical data; multiple trees ... See more keywords