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| Artikel-Nr.: 5667A-9783642260773 Herst.-Nr.: 9783642260773 EAN/GTIN: 9783642260773 |
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 | An Ensemble Pruning Primer.- Evade Hard Multiple Classifier Systems.- A Personal Antispam System Based on a Behaviour-Knowledge Space Approach.- Weighted Decoding ECOC for Facial Action Unit Classification.- Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.- Partitioner Trees for Classification: A New Ensemble Method.- Disturbing Neighbors Diversity for Decision Forests.- Improving Supervised Learning with Multiple Clusterings.- The Neighbors Voting Algorithm and Its Applications.- Clustering Ensembles with Active Constraints.- Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs.- Independent Data Model Selection for Ensemble Dispersion Forecasting.- Integrating Liknon Feature Selection and Committee Training.- Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care. Weitere Informationen:  |  | Author: | Oleg Okun | Verlag: | Springer Berlin | Sprache: | eng |
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 | Weitere Suchbegriffe: allgemeine Informatikbücher - englischsprachig, allgemeine informatikbücher - englischsprachig, European Conference on Artificial Intelligence, Spam, artificial intelligence, cognition, computational intelligence, image analysis, knowledge, learning, pattern recognition, proving |
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