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{ "item_title" : "Multiple Classifier Systems", "item_author" : [" Friedhelm Schwenker", "Fabio Roli", "Josef Kittler "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/920/247/3319202472_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multiple Classifier Systems|Friedhelm Schwenker

Multiple Classifier Systems : 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings

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Overview

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.

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Details

  • ISBN-13: 9783319202471
  • ISBN-10: 3319202472
  • Publisher: Springer
  • Publish Date: June 2015
  • Dimensions: 9.21 x 6.14 x 0.51 inches
  • Shipping Weight: 0.76 pounds
  • Page Count: 231

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