Boosting Ensembles of Heavy Two-Layer Perceptrons for Increasing Classification Accuracy in Recognizing Shifted-Turned-Scaled Flat Images with Binary Features
A method of constructing boosting ensembles of heavy two-layer perceptrons is stated. The benchmark classification problem is recognition of shifted-turned-scaled flat images of a medium format with binary features. The boosting gain is suggested in two aspects. The earliest one is the ratio of mini...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of organization and informatics
2015-07-01
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| Series: | Journal of Information and Organizational Sciences |
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| Online Access: | http://jios.foi.hr/index.php/jios/article/view/941 |