LEADER 05854nam 22007815 450 001 996465562403316 005 20210216211331.0 010 $a3-540-45014-9 024 7 $a10.1007/3-540-45014-9 035 $a(CKB)1000000000211272 035 $a(SSID)ssj0000325034 035 $a(PQKBManifestationID)11234405 035 $a(PQKBTitleCode)TC0000325034 035 $a(PQKBWorkID)10320833 035 $a(PQKB)10355186 035 $a(DE-He213)978-3-540-45014-6 035 $a(MiAaPQ)EBC3072852 035 $a(PPN)155193597 035 $a(EXLCZ)991000000000211272 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMultiple Classifier Systems$b[electronic resource] $eFirst International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings /$fedited by Josef Kittler, Fabio Roli 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (XII, 408 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1857 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-67704-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aEnsemble 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. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1857 606 $aEnsemble learning (Machine learning) 606 $aPattern recognition 606 $aArtificial intelligence 606 $aOptical data processing 606 $aAlgorithms 606 $aComputers 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aEnsemble learning (Machine learning) 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aAlgorithms. 615 0$aComputers. 615 14$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputation by Abstract Devices. 676 $a006.3/1 702 $aKittler$b Josef$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRoli$b Fabio$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop on Multiple Classifier Systems$d(1st :$f2000 :$eCagliari, Italy) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465562403316 996 $aMultiple Classifier Systems$9772217 997 $aUNISA LEADER 01459nas 2200373 n 450 001 990008946500403321 005 20240229084302.0 011 $a1722-3644 035 $a000894650 035 $aFED01000894650 035 $a(Aleph)000894650FED01 035 $a000894650 091 $2CNR$aPT02263828 100 $a20161109a20039999km-y0itaa50------ba 101 0 $aita 102 $aIT 110 $aauu-------- 200 1 $aCostruire Impianti 207 1$a2003- 210 $aMilano$cCostruire Edizioni 326 $aMensile 530 0 $aCostruire Impianti 531 $aCOSTR. IMPIANTI 675 $a697 801 0$aIT$bACNP$c20090723 859 4 $uhttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/dc-p1.tcl?catno=2263828&person=false&language=ITALIANO&libr=&libr_th=unina1$zBiblioteche che possiedono il periodico 901 $aSE 912 $a990008946500403321 958 $aBiblioteca Interdipartimentale "Marcello Canino" dell'Università "Federico II"$b2003-$c2003-2007;$fDARPU 959 $aDARPU 996 $aCostruire Impianti$9797476 997 $aUNINA AP1 8 $6866-01$aNA080 Biblioteca Interdipartimentale "Marcello Canino" dell'Università "Federico II"$evia Forno Vecchio 36, 80134 Napoli (NA)$m0812538758$m0812538717$nit AP2 40$aacnp.cib.unibo.it$nACNP Italian Union Catalogue of Serials$uhttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/df-p.tcl?catno=2263828&language=ITALIANO&libr=&person=&B=1&libr_th=unina&proposto=NO