05854nam 22007815 450 99646556240331620210216211331.03-540-45014-910.1007/3-540-45014-9(CKB)1000000000211272(SSID)ssj0000325034(PQKBManifestationID)11234405(PQKBTitleCode)TC0000325034(PQKBWorkID)10320833(PQKB)10355186(DE-He213)978-3-540-45014-6(MiAaPQ)EBC3072852(PPN)155193597(EXLCZ)99100000000021127220121227d2000 u| 0engurnn#008mamaatxtccrMultiple Classifier Systems[electronic resource] First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings /edited by Josef Kittler, Fabio Roli1st ed. 2000.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2000.1 online resource (XII, 408 p.)Lecture Notes in Computer Science,0302-9743 ;1857Bibliographic Level Mode of Issuance: Monograph3-540-67704-6 Includes bibliographical references at the end of each chapters and index.Ensemble Methods in Machine Learning -- Experiments with Classifier Combining Rules -- The “Test and Select” Approach to Ensemble Combination -- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR -- Multiple Classifier Combination Methodologies for Different Output Levels -- A Mathematically Rigorous Foundation for Supervised Learning -- Classifier Combinations: Implementations and Theoretical Issues -- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification -- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers -- Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems -- Combining Fisher Linear Discriminants for Dissimilarity Representations -- A Learning Method of Feature Selection for Rough Classification -- Analysis of a Fusion Method for Combining Marginal Classifiers -- A hybrid projection based and radial basis function architecture -- Combining Multiple Classifiers in Probabilistic Neural Networks -- Supervised Classifier Combination through Generalized Additive Multi-model -- Dynamic Classifier Selection -- Boosting in Linear Discriminant Analysis -- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination -- Applying Boosting to Similarity Literals for Time Series Classification -- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS -- A New Evaluation Method for Expert Combination in Multi-expert System Designing -- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems -- Self-Organizing Decomposition of Functions -- Classifier Instability and Partitioning -- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis -- Consensus Based Classification of Multisource Remote Sensing Data -- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps -- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification -- Use of Lexicon Density in Evaluating Word Recognizers -- A Multi-expert System for Dynamic Signature Verification -- A Cascaded Multiple Expert System for Verification -- Architecture for Classifier Combination Using Entropy Measures -- Combining Fingerprint Classifiers -- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework -- A Modular Neuro-Fuzzy Network for Musical Instruments Classification -- Classifier Combination for Grammar-Guided Sentence Recognition -- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers.Lecture Notes in Computer Science,0302-9743 ;1857Ensemble learning (Machine learning)Pattern recognitionArtificial intelligenceOptical data processingAlgorithmsComputersPattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Ensemble learning (Machine learning)Pattern recognition.Artificial intelligence.Optical data processing.Algorithms.Computers.Pattern Recognition.Artificial Intelligence.Image Processing and Computer Vision.Algorithm Analysis and Problem Complexity.Computation by Abstract Devices.006.3/1Kittler Josefedthttp://id.loc.gov/vocabulary/relators/edtRoli Fabioedthttp://id.loc.gov/vocabulary/relators/edtInternational Workshop on Multiple Classifier Systems(1st :2000 :Cagliari, Italy)MiAaPQMiAaPQMiAaPQBOOK996465562403316Multiple Classifier Systems772217UNISA