LEADER 05450nam 22007695 450 001 996465737103316 005 20200630151907.0 010 $a3-540-69939-2 024 7 $a10.1007/978-3-540-69939-2 035 $a(CKB)1000000000440813 035 $a(SSID)ssj0000355445 035 $a(PQKBManifestationID)11294234 035 $a(PQKBTitleCode)TC0000355445 035 $a(PQKBWorkID)10337784 035 $a(PQKB)10665117 035 $a(DE-He213)978-3-540-69939-2 035 $a(MiAaPQ)EBC3068649 035 $a(PPN)127051988 035 $a(EXLCZ)991000000000440813 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Networks in Pattern Recognition$b[electronic resource] $eThird IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings /$fedited by Lionel Prevost, Simone Marinai, Friedhelm Schwenker 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (IX, 322 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5064 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-69938-4 320 $aIncludes bibliographical references and index. 327 $aUnsupervised Learning -- Patch Relational Neural Gas ? Clustering of Huge Dissimilarity Datasets -- The Block Generative Topographic Mapping -- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs -- Probabilistic Models Based on the ?-Sigmoid Distribution -- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise -- Supervised Learning -- Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis -- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network -- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics -- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four -- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction -- Fuzzy Evolutionary Probabilistic Neural Networks -- Experiments with Supervised Fuzzy LVQ -- A Neural Network Approach to Similarity Learning -- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes -- Multiple Classifiers -- Boosting Threshold Classifiers for High? Dimensional Data in Functional Genomics -- Decision Fusion on Boosting Ensembles -- The Mixture of Neural Networks as Ensemble Combiner -- Combining Methods for Dynamic Multiple Classifier Systems -- Researching on Multi-net Systems Based on Stacked Generalization -- Applications -- Real-Time Emotion Recognition from Speech Using Echo State Networks -- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks -- Multi-class Vehicle Type Recognition System -- A Bio-inspired Neural Model for Colour Image Segmentation -- Mining Software Aging Patterns by Artificial Neural Networks -- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy -- Feature Selection -- Feature Ranking Ensembles for Facial Action Unit Classification -- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration -- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition -- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint. 410 0$aLecture Notes in Artificial Intelligence ;$v5064 606 $aData mining 606 $aComputer engineering 606 $aPattern recognition 606 $aArtificial intelligence 606 $aApplication software 606 $aBiometrics (Biology) 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputer Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I27000 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 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 615 0$aData mining. 615 0$aComputer engineering. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aBiometrics (Biology). 615 14$aData Mining and Knowledge Discovery. 615 24$aComputer Engineering. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aBiometrics. 676 $a006.312 702 $aPrevost$b Lionel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMarinai$b Simone$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchwenker$b Friedhelm$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465737103316 996 $aArtificial Neural Networks in Pattern Recognition$9772570 997 $aUNISA