A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification 1st Edition by Amin Assareh, Mohammad Hassan Moradi, Gwenn Volkert ISBN 9783540787570

A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification 1st Edition by Amin Assareh, Mohammad Hassan Moradi, Gwenn Volkert – Ebook PDF Instant Download/Delivery. 9783540787570
Full download A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification 1st Edition after payment

Product details:

ISBN 10: 
ISBN 13: 9783540787570
Author: Amin Assareh, Mohammad Hassan Moradi, Gwenn Volkert

Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination that the major factor for producing better accuracy is the diversity in the classifier team. Re-sampling based approaches like bagging, boosting and random subspace generate multiple models by training a single learning algorithm on multiple random replicates or sub-samples, in either feature space or the sample domain. In the present study we proposed a hybrid random subspace fusion scheme that simultaneously utilizes both the feature space and the sample domain to improve the diversity of the classifier ensemble. Experimental results using two protein mass spectra datasets of ovarian cancer demonstrate the usefulness of this approach for six learning algorithms (LDA, 1-NN, Decision Tree, Logistic Regression, Linear SVMs and MLP). The results also show that the proposed strategy outperforms three conventional re-sampling based ensemble algorithms on these datasets.

A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification 1st Table of contents:

People also search for A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification 1st:

a hybrid random subspace classifier fusion
    
random subspace mixture model
    
random subspace method
    
random subspace coding
    
random subspace ensemble