Applications of Supervised and Unsupervised Ensemble Methods

Editors:

ISBN: 978-3-642-03998-0 (Print) 978-3-642-03999-7 (Online)

Table of contents (14 chapters)

  1. Front Matter

    Pages -

  2. No Access

    Chapter

    Pages 1-13

    An Ensemble Pruning Primer

  3. No Access

    Chapter

    Pages 15-38

    Evade Hard Multiple Classifier Systems

  4. No Access

    Chapter

    Pages 39-57

    A Personal Antispam System Based on a Behaviour-Knowledge Space Approach

  5. No Access

    Chapter

    Pages 59-77

    Weighted Decoding ECOC for Facial Action Unit Classification

  6. No Access

    Chapter

    Pages 79-91

    Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources

  7. No Access

    Chapter

    Pages 93-112

    Partitioner Trees for Classification: A New Ensemble Method

  8. No Access

    Chapter

    Pages 113-133

    Disturbing Neighbors Diversity for Decision Forests

  9. No Access

    Chapter

    Pages 135-149

    Improving Supervised Learning with Multiple Clusterings

  10. No Access

    Chapter

    Pages 151-173

    The Neighbors Voting Algorithm and Its Applications

  11. No Access

    Chapter

    Pages 175-189

    Clustering Ensembles with Active Constraints

  12. No Access

    Chapter

    Pages 191-211

    Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs

  13. No Access

    Chapter

    Pages 213-231

    Independent Data Model Selection for Ensemble Dispersion Forecasting

  14. No Access

    Chapter

    Pages 233-250

    Integrating Liknon Feature Selection and Committee Training

  15. No Access

    Chapter

    Pages 251-265

    Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care

  16. Back Matter

    Pages -