05589nam 22007815 450 99646554080331620210216211524.03-540-45428-410.1007/3-540-45428-4(CKB)1000000000211768(SSID)ssj0000325035(PQKBManifestationID)11211312(PQKBTitleCode)TC0000325035(PQKBWorkID)10321026(PQKB)10821859(DE-He213)978-3-540-45428-1(MiAaPQ)EBC3073174(PPN)155208500(EXLCZ)99100000000021176820121227d2002 u| 0engurnn#008mamaatxtccrMultiple Classifier Systems[electronic resource] Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings /edited by Fabio Roli, Josef Kittler1st ed. 2002.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2002.1 online resource (X, 342 p.)Lecture Notes in Computer Science,0302-9743 ;2364Bibliographic Level Mode of Issuance: Monograph3-540-43818-1 Includes bibliographical references at the end of each chapters and index.Invited Papers -- Multiclassifier Systems: Back to the Future -- Support Vector Machines, Kernel Logistic Regression and Boosting -- Multiple Classification Systems in the Context of Feature Extraction and Selection -- Bagging and Boosting -- Boosted Tree Ensembles for Solving Multiclass Problems -- Distributed Pasting of Small Votes -- Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy -- Highlighting Hard Patterns via AdaBoost Weights Evolution -- Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse -- Ensemble Learning and Neural Networks -- Multistage Neural Network Ensembles -- Forward and Backward Selection in Regression Hybrid Network -- Types of Multinet System -- Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining -- Design Methodologies -- New Measure of Classifier Dependency in Multiple Classifier Systems -- A Discussion on the Classifier Projection Space for Classifier Combining -- On the General Application of the Tomographic Classifier Fusion Methodology -- Post-processing of Classifier Outputs in Multiple Classifier Systems -- Combination Strategies -- Trainable Multiple Classifier Schemes for Handwritten Character Recognition -- Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition -- Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data -- Stacking with Multi-response Model Trees -- On Combining One-Class Classifiers for Image Database Retrieval -- Analysis and Performance Evaluation -- Bias—Variance Analysis and Ensembles of SVM -- An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs -- Reduction of the Boasting Bias of Linear Experts -- Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers -- Applications -- Boosting and Classification of Electronic Nose Data -- Content-Based Classification of Digital Photos -- Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours -- Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach -- A Multi-expert System for Movie Segmentation -- Decision Level Fusion of Intramodal Personal Identity Verification Experts -- An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems.Lecture Notes in Computer Science,0302-9743 ;2364Ensemble learning (Machine learning)Computer engineeringArtificial intelligencePattern recognitionOptical data processingAlgorithmsComputer Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/I27000Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Ensemble learning (Machine learning)Computer engineering.Artificial intelligence.Pattern recognition.Optical data processing.Algorithms.Computer Engineering.Artificial Intelligence.Pattern Recognition.Image Processing and Computer Vision.Algorithm Analysis and Problem Complexity.006.3/1Roli Fabioedthttp://id.loc.gov/vocabulary/relators/edtKittler Josefedthttp://id.loc.gov/vocabulary/relators/edtInternational Workshop on Multiple Classifier SystemsMiAaPQMiAaPQMiAaPQBOOK996465540803316Multiple Classifier Systems772217UNISA