LEADER 01105nam0-2200397-i-450- 001 990009096820403321 005 20090930164128.0 010 $a978-0-8218-4813-5 035 $a000909682 035 $aFED01000909682 035 $a(Aleph)000909682FED01 035 $a000909682 100 $a20090930d2009----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa---a---001yy 200 1 $aDescriptive set theory$fYiannis N. Moschovakis 205 $a2. ed. 210 $aProvidence$cAmerican Mathematical society$dc2009 215 $aXIV, 502 p.$cill.$d26 cm 225 1 $aMathematical surveys and monographs$v155 610 0 $aTeoria descrittiva degli insiemi 610 0 $aLogica matematica 610 0 $aPrincipi di determinatezza 676 $a511.3$v21$zita 700 1$aMoschovakis,$bYiannis N.$049429 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009096820403321 952 $aC-46-(155$b23977$fMA1 959 $aMA1 962 $a03E15 962 $a03-02 962 $a03E60 996 $aDescriptive set theory$9381825 997 $aUNINA LEADER 01275nam 2200373 450 001 9910132961603321 005 20160620170940.0 035 $a(CKB)3400000000017538 035 $a(ItFiC)it 04230620 035 $a(EXLCZ)993400000000017538 100 $a20091204d2004 uy 0 101 0 $aita 200 03$aLa percezione del paesaggio nel Rinascimento$b[electronic resource] /$fa cura di Ada Myriam Scanu ; direzione di Ruggero Campagnoli, Fulvio Pezzarossa, Anna Soncini Fratta 210 $aBologna $cCLUEB$d2004 215 $a363 p. $cill 225 0$aHeuresis.$p[Sez.] 1.: Quaderni di Schede umanistiche ;$v8 300 $aProceedings, Bologna, 2002. 300 $aTexts in French or Italian. 311 $a88-491-2169-5 320 $aIncludes bibliographical references. 606 $aLandscape in literature$vCongresses 606 $aLandscape in art$vCongresses 606 $aArts, Renaissance$vCongresses 615 0$aLandscape in literature 615 0$aLandscape in art 615 0$aArts, Renaissance 676 $a712 701 $aScanu$b Ada Myriam$0309060 801 0$bItFiC 801 1$bItFiC 906 $aBOOK 912 $a9910132961603321 996 $aLa percezione del paesaggio nel Rinascimento$92432397 997 $aUNINA LEADER 07351nam 22008295 450 001 9910483351103321 005 20251226202605.0 010 $a3-642-02326-6 024 7 $a10.1007/978-3-642-02326-2 035 $a(CKB)1000000000753983 035 $a(SSID)ssj0000319091 035 $a(PQKBManifestationID)11243811 035 $a(PQKBTitleCode)TC0000319091 035 $a(PQKBWorkID)10336594 035 $a(PQKB)10877196 035 $a(DE-He213)978-3-642-02326-2 035 $a(MiAaPQ)EBC3064278 035 $a(PPN)136306721 035 $a(EXLCZ)991000000000753983 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMultiple Classifier Systems $e8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009, Proceedings /$fedited by Jón Atli Benediktsson, Josef Kittler, Fabio Roli 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XI, 540 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v5519 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-02325-8 320 $aIncludes bibliographical references and author index. 327 $aECOC, Boosting and Bagging -- The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles -- Recoding Error-Correcting Output Codes -- Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting -- Multi-class Boosting with Class Hierarchies -- MCS in Remote Sensing -- Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis -- Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification -- Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data -- Unbalanced Data and Decision Templates -- Optimal Mean-Precision Classifier -- A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling -- Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion -- Stacked Generalization and Active Learning -- Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors -- Regularized Linear Models in Stacked Generalization -- Active Grading Ensembles for Learning Visual Quality Control from Multiple Humans -- Multiple Classifier Systems for Adversarial Classification Tasks -- Concept Drift, Missing Values and Random Forest -- Incremental Learning of Variable Rate Concept Drift -- Semi-supervised Co-update of Multiple Matchers -- Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method -- Influence of Hyperparameters on Random Forest Accuracy -- SVM Ensembles -- Ensembles of One Class Support Vector Machines -- Disturbing Neighbors Ensembles for Linear SVM -- Fusion of Graphs, Concepts and Categorical Data -- A Labelled Graph Based Multiple Classifier System -- Cluster Ensembles Based on Vector Space Embeddings of Graphs -- Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data -- True Path Rule Hierarchical Ensembles -- Clustering -- A Study of Semi-supervised Generative Ensembles -- Hierarchical Ensemble Support Cluster Machine -- Multi-scale Stacked Sequential Learning -- Unsupervised Hierarchical Weighted Multi-segmenter -- Ant Clustering Using Ensembles of Partitions -- Classifier and Feature Selection -- Selective Ensemble under Regularization Framework -- Criteria Ensembles in Feature Selection -- Network Protocol Verification by a Classifier Selection Ensemble -- Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels -- Theory of MCS -- Improved Uniformity Enforcement in Stochastic Discrimination -- An Information Theoretic Perspective on Multiple Classifier Systems -- Constraints in Weighted Averaging -- FaSS: Ensembles for Stable Learners -- MCS Methods and Applications -- Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data -- Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation -- Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image -- Target Identification from High Resolution Remote Sensing Image by Combining Multiple Classifiers -- Neural Network Optimization for Combinations in Identification Systems -- MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction -- Diversity-Based Classifier Selection for Adaptive Object Tracking -- Ensemble Based Data Fusion for Gene Function Prediction -- A Cascade Multiple Classifier System for Document Categorization -- Maximum Membership Scale Selection -- An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets -- A Study of Random Linear Oracle Ensembles -- Stacking for Ensembles of Local Experts in Metabonomic Applications -- Boosting Support Vector Machines Successfully -- Invited Papers -- Manifold Learning for Multi-classifier Systems via Ensembles -- When Semi-supervised Learning Meets Ensemble Learning. 330 $aThis book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009. The 52 revised full papers presented together with 2 invited papers were carefully reviewed and selected from more than 70 initial submissions. The papers are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, stacked generalization and active learning, concept drift, missing values and random forest, SVM ensembles, fusion of graphics, concepts and categorical data, clustering, and finally theory, methods and applications of MCS. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v5519 606 $aPattern recognition systems 606 $aComputer programming 606 $aComputer vision 606 $aArtificial intelligence 606 $aBiometric identification 606 $aComputer science 606 $aAutomated Pattern Recognition 606 $aProgramming Techniques 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aBiometrics 606 $aTheory of Computation 615 0$aPattern recognition systems. 615 0$aComputer programming. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aBiometric identification. 615 0$aComputer science. 615 14$aAutomated Pattern Recognition. 615 24$aProgramming Techniques. 615 24$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aBiometrics. 615 24$aTheory of Computation. 676 $a006.4 701 $aJon Atli Benediktsson$0941121 701 $aKittler$b Josef$f1946-$013183 701 $aRoli$b Fabio$f1962-$0275187 712 12$aMCS 2009 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483351103321 996 $aMultiple classifier systems$94204798 997 $aUNINA