Multiple Classifier Systems

A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models.- A Hierarchical Ensemble Method for DAG-Structured Taxonomies.- Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble.- Fractional Programming Weighted Decoding for Error-Correcting Output Codes.- Instance-Based Decompositions of Error Correcting Output Codes.- Pruning Bagging Ensembles with Metalearning.- Multi-label Selective Ensemble.- Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation.- Detecting Ordinal Class Structures.- Calibrating AdaBoost for Asymmetric Learning.- Building Classifier Ensembles Using Greedy Graph Edit Distance.- Measuring the Stability of Feature Selection with Applications to Ensemble Methods.- Suboptimal Graph Edit Distance Based on Sorted Local Assignments.- Multimodal PLSA for Movie Genre Classification.- One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time.- An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.- Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective.- An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles.- Bio-Visual Fusion for Person Independent Recognition of Pain Intensity.