05729nam 22008055 450 99646528600331620230220150245.01-280-38597-997866135638973-642-12127-610.1007/978-3-642-12127-2(CKB)2670000000010128(SSID)ssj0000399491(PQKBManifestationID)11290898(PQKBTitleCode)TC0000399491(PQKBWorkID)10385502(PQKB)10646507(DE-He213)978-3-642-12127-2(MiAaPQ)EBC3065164(PPN)149059876(EXLCZ)99267000000001012820100325d2010 u| 0engurnn#008mamaatxtccrMultiple Classifier Systems[electronic resource] 9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010, Proceedings /edited by Neamat El Gayar, Josef Kittler, Fabio Roli1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (X, 328 p. 77 illus.)Theoretical Computer Science and General Issues,2512-2029 ;5997Bibliographic Level Mode of Issuance: Monograph3-642-12126-8 Includes bibliographical references and index.Classifier Ensembles(I) -- Weighted Bagging for Graph Based One-Class Classifiers -- Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers -- New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization -- Incremental Learning of New Classes in Unbalanced Datasets: Learn?+?+?.UDNC -- Tomographic Considerations in Ensemble Bias/Variance Decomposition -- Choosing Parameters for Random Subspace Ensembles for fMRI Classification -- Classifier Ensembles(II) -- An Experimental Study on Ensembles of Functional Trees -- Multiple Classifier Systems under Attack -- SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning -- Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach -- A Double Pruning Algorithm for Classification Ensembles -- Estimation of the Number of Clusters Using Multiple Clustering Validity Indices -- Classifier Diversity -- “Good” and “Bad” Diversity in Majority Vote Ensembles -- Multi-information Ensemble Diversity -- Classifier Selection -- Dynamic Selection of Ensembles of Classifiers Using Contextual Information -- Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems -- Combining Multiple Kernels -- A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities -- Combining Multiple Kernels by Augmenting the Kernel Matrix -- Boosting and Bootstrapping -- Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles -- Boosted Geometry-Based Ensembles -- Online Non-stationary Boosting -- Handwriting Recognition -- Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting -- Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition -- Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition -- Applications -- Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting -- A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM -- A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation -- A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression -- Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells -- An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction -- Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network -- Invited Papers -- Some Thoughts at the Interface of Ensemble Methods and Feature Selection -- Multiple Classifier Systems for the Recogonition of Human Emotions -- Erratum -- Erratum.Theoretical Computer Science and General Issues,2512-2029 ;5997Artificial intelligenceApplication softwarePattern recognition systemsAlgorithmsComputer scienceDatabase managementArtificial IntelligenceComputer and Information Systems ApplicationsAutomated Pattern RecognitionAlgorithmsTheory of ComputationDatabase ManagementArtificial intelligence.Application software.Pattern recognition systems.Algorithms.Computer science.Database management.Artificial Intelligence.Computer and Information Systems Applications.Automated Pattern Recognition.Algorithms.Theory of Computation.Database Management.006.3El Gayar Neamatedthttp://id.loc.gov/vocabulary/relators/edtKittler Josefedthttp://id.loc.gov/vocabulary/relators/edtRoli Fabioedthttp://id.loc.gov/vocabulary/relators/edtMCS 2010BOOK996465286003316Multiple Classifier Systems772217UNISA