01236cam0-22004091i-450-99000379578040332120141002090224.088-15-06127-4000379578FED01000379578(Aleph)000379578FED0100037957820090304d1997----km-y0itay50------baitaITy-------001yyGeografia della cittadinanza sociale in Italiaregioni e politiche assistenziali dagli anni Settanta agli anni NovantaValeria FargionBolognail Mulino1997351 p.21 cmStudi e ricerche400Politica socialeItaliaRegioniItaliaPolitica sociale361.6094520itaFargion,Valeria123132ITUNINAREICATUNIMARCBK9900037957804033211783 sez. Andriello1783DARPU361.60945 FAR 16398BFS049.002.FAR.01856DECGE20200 FAR17714SESDARPUBFSDECGESESGeografia della cittadinanza sociale in Italia506481UNINA05876nam 22007935 450 991076755080332120250729100411.03-540-45014-910.1007/3-540-45014-9(CKB)1000000000211272(SSID)ssj0000325034(PQKBManifestationID)11234405(PQKBTitleCode)TC0000325034(PQKBWorkID)10320833(PQKB)10355186(DE-He213)978-3-540-45014-6(MiAaPQ)EBC3072852(PPN)155193597(BIP)13627355(BIP)6535028(EXLCZ)99100000000021127220121227d2000 u| 0engurnn#008mamaatxtccrMultiple Classifier Systems 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,1611-3349 ;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.This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000.The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on theoretical issues, multiple classifier fusion, bagging and boosting, design of multiple classifier systems, applications of multiple classifier systems, document analysis, and miscellaneous applications.Lecture Notes in Computer Science,1611-3349 ;1857Pattern recognition systemsArtificial intelligenceComputer visionAlgorithmsComputer scienceAutomated Pattern RecognitionArtificial IntelligenceComputer VisionAlgorithmsTheory of ComputationPattern recognition systems.Artificial intelligence.Computer vision.Algorithms.Computer science.Automated Pattern Recognition.Artificial Intelligence.Computer Vision.Algorithms.Theory of Computation.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)MiAaPQMiAaPQMiAaPQBOOK9910767550803321Multiple Classifier Systems772217UNINA