Supervised and unsupervised pattern recognition : feature extraction and computational intelligence

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Titel
Supervised and unsupervised pattern recognition feature extraction and computational intelligence
verantwortlich
Micheli-Tzanakou, Evangelia
veröffentlicht
[Place of publication not identified]: CRC Press, 2017
Erscheinungsjahr
2017
Teil von
Industrial electronics series.
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E-Book
Datenquelle
British Library Catalogue
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505 0 0 |t Overviews of Neural Networks, Classifiers, and Feature Extraction Methods -- Supervised Neural Networks --  |t Criteria for Optimal Classifier Design --  |t Categorizing the Classifiers --  |t Bayesian Optimal Classifiers --  |t Exemplar Classifiers --  |t Space Partition Methods --  |t Neural Networks --  |t Bayesian Classifiers --  |t Minimum ECM Classifers --  |t Multi-Class Optimal Classifiers --  |t Bayesian Classifiers with Multivariate Normal Populations --  |t Quadratic Discriminant Score --  |t Linear Discriminant Score --  |t Linear Discriminant Analysis and Classification --  |t Equivalence of LDF to Minimum TPM Classifier --  |t Learning Vector Quantizer (LVQ) --  |t Competitive Learning --  |t Self-Organizing Map --  |t Learning Vector Quantization --  |t Nearest Neighbor Rule --  |t Neural Networks (NN) --  |t Artificial Neural Networks --  |t Usage of Neural Networks --  |t Other Neural Networks --  |t Feed-Forward Neural Networks --  |t Error Backpropagation --  |t Madaline Rule III for Multilayer Network with Sigmoid Function --  |t A Comment on the Terminology 'Backpropagation' --  |t Optimization Machines with Feed-Forward Multilayer Perceptrons --  |t Justification for Gradient Methods for Nonlinear Function Approximation --  |t Training Methods for Feed-Forward Networks --  |t Issues in Neural Networks --  |t Universal Approximation --  |t Enhancing Convergence Rate and Generalization of an Optimization Machine --  |t Suggestions for Improving the Convergence --  |t Quick Prop --  |t Kullback-Leibler Distance --  |t Weight Decay --  |t Regression Methods for Classification Purposes --  |t Two-Group Regression and Linear Discriminant Function. 
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author Micheli-Tzanakou, Evangelia
author_facet Micheli-Tzanakou, Evangelia
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author_sort Micheli-Tzanakou, Evangelia 1942-
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contents Overviews of Neural Networks, Classifiers, and Feature Extraction Methods -- Supervised Neural Networks -- Criteria for Optimal Classifier Design -- Categorizing the Classifiers -- Bayesian Optimal Classifiers -- Exemplar Classifiers -- Space Partition Methods -- Neural Networks -- Bayesian Classifiers -- Minimum ECM Classifers -- Multi-Class Optimal Classifiers -- Bayesian Classifiers with Multivariate Normal Populations -- Quadratic Discriminant Score -- Linear Discriminant Score -- Linear Discriminant Analysis and Classification -- Equivalence of LDF to Minimum TPM Classifier -- Learning Vector Quantizer (LVQ) -- Competitive Learning -- Self-Organizing Map -- Learning Vector Quantization -- Nearest Neighbor Rule -- Neural Networks (NN) -- Artificial Neural Networks -- Usage of Neural Networks -- Other Neural Networks -- Feed-Forward Neural Networks -- Error Backpropagation -- Madaline Rule III for Multilayer Network with Sigmoid Function -- A Comment on the Terminology 'Backpropagation' -- Optimization Machines with Feed-Forward Multilayer Perceptrons -- Justification for Gradient Methods for Nonlinear Function Approximation -- Training Methods for Feed-Forward Networks -- Issues in Neural Networks -- Universal Approximation -- Enhancing Convergence Rate and Generalization of an Optimization Machine -- Suggestions for Improving the Convergence -- Quick Prop -- Kullback-Leibler Distance -- Weight Decay -- Regression Methods for Classification Purposes -- Two-Group Regression and Linear Discriminant Function.
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id 181-018659739
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imprint [Place of publication not identified], CRC Press, 2017
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physical 1 online resource (392 pages; 9 illustrations)
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publisher CRC Press
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spelling Micheli-Tzanakou, Evangelia 1942-, Supervised and unsupervised pattern recognition feature extraction and computational intelligence [edited by] Evangelia Micheli-Tzanakou, [Place of publication not identified] CRC Press 2017, 1 online resource (392 pages : 9 illustrations)., text rdacontent, computer rdamedia, online resource rdacarrier, Industrial electronics series, Overviews of Neural Networks, Classifiers, and Feature Extraction Methods -- Supervised Neural Networks -- Criteria for Optimal Classifier Design -- Categorizing the Classifiers -- Bayesian Optimal Classifiers -- Exemplar Classifiers -- Space Partition Methods -- Neural Networks -- Bayesian Classifiers -- Minimum ECM Classifers -- Multi-Class Optimal Classifiers -- Bayesian Classifiers with Multivariate Normal Populations -- Quadratic Discriminant Score -- Linear Discriminant Score -- Linear Discriminant Analysis and Classification -- Equivalence of LDF to Minimum TPM Classifier -- Learning Vector Quantizer (LVQ) -- Competitive Learning -- Self-Organizing Map -- Learning Vector Quantization -- Nearest Neighbor Rule -- Neural Networks (NN) -- Artificial Neural Networks -- Usage of Neural Networks -- Other Neural Networks -- Feed-Forward Neural Networks -- Error Backpropagation -- Madaline Rule III for Multilayer Network with Sigmoid Function -- A Comment on the Terminology 'Backpropagation' -- Optimization Machines with Feed-Forward Multilayer Perceptrons -- Justification for Gradient Methods for Nonlinear Function Approximation -- Training Methods for Feed-Forward Networks -- Issues in Neural Networks -- Universal Approximation -- Enhancing Convergence Rate and Generalization of an Optimization Machine -- Suggestions for Improving the Convergence -- Quick Prop -- Kullback-Leibler Distance -- Weight Decay -- Regression Methods for Classification Purposes -- Two-Group Regression and Linear Discriminant Function., Pattern recognition systems., Neural networks (Computer science), Neural networks (Computer science) fast (OCoLC)fst01036260, Pattern recognition systems. fast (OCoLC)fst01055266, Mustererkennung gnd, Neuronales Netz gnd, Reconnaissance des formes (informatique) ram, Réseaux neuronaux (informatique) ram, Mustererkennung. swd, Industrial electronics series., ELD ebook, British Library HMNTS DRT ELD.DS.241780
spellingShingle Micheli-Tzanakou, Evangelia, Supervised and unsupervised pattern recognition: feature extraction and computational intelligence, Industrial electronics series, Overviews of Neural Networks, Classifiers, and Feature Extraction Methods -- Supervised Neural Networks -- Criteria for Optimal Classifier Design -- Categorizing the Classifiers -- Bayesian Optimal Classifiers -- Exemplar Classifiers -- Space Partition Methods -- Neural Networks -- Bayesian Classifiers -- Minimum ECM Classifers -- Multi-Class Optimal Classifiers -- Bayesian Classifiers with Multivariate Normal Populations -- Quadratic Discriminant Score -- Linear Discriminant Score -- Linear Discriminant Analysis and Classification -- Equivalence of LDF to Minimum TPM Classifier -- Learning Vector Quantizer (LVQ) -- Competitive Learning -- Self-Organizing Map -- Learning Vector Quantization -- Nearest Neighbor Rule -- Neural Networks (NN) -- Artificial Neural Networks -- Usage of Neural Networks -- Other Neural Networks -- Feed-Forward Neural Networks -- Error Backpropagation -- Madaline Rule III for Multilayer Network with Sigmoid Function -- A Comment on the Terminology 'Backpropagation' -- Optimization Machines with Feed-Forward Multilayer Perceptrons -- Justification for Gradient Methods for Nonlinear Function Approximation -- Training Methods for Feed-Forward Networks -- Issues in Neural Networks -- Universal Approximation -- Enhancing Convergence Rate and Generalization of an Optimization Machine -- Suggestions for Improving the Convergence -- Quick Prop -- Kullback-Leibler Distance -- Weight Decay -- Regression Methods for Classification Purposes -- Two-Group Regression and Linear Discriminant Function., Pattern recognition systems., Neural networks (Computer science), Mustererkennung, Neuronales Netz, Reconnaissance des formes (informatique), Réseaux neuronaux (informatique), Mustererkennung.
title Supervised and unsupervised pattern recognition: feature extraction and computational intelligence
title_alt Overviews of Neural Networks, Classifiers, and Feature Extraction Methods -- Supervised Neural Networks --, Criteria for Optimal Classifier Design --, Categorizing the Classifiers --, Bayesian Optimal Classifiers --, Exemplar Classifiers --, Space Partition Methods --, Neural Networks --, Bayesian Classifiers --, Minimum ECM Classifers --, Multi-Class Optimal Classifiers --, Bayesian Classifiers with Multivariate Normal Populations --, Quadratic Discriminant Score --, Linear Discriminant Score --, Linear Discriminant Analysis and Classification --, Equivalence of LDF to Minimum TPM Classifier --, Learning Vector Quantizer (LVQ) --, Competitive Learning --, Self-Organizing Map --, Learning Vector Quantization --, Nearest Neighbor Rule --, Neural Networks (NN) --, Artificial Neural Networks --, Usage of Neural Networks --, Other Neural Networks --, Feed-Forward Neural Networks --, Error Backpropagation --, Madaline Rule III for Multilayer Network with Sigmoid Function --, A Comment on the Terminology 'Backpropagation' --, Optimization Machines with Feed-Forward Multilayer Perceptrons --, Justification for Gradient Methods for Nonlinear Function Approximation --, Training Methods for Feed-Forward Networks --, Issues in Neural Networks --, Universal Approximation --, Enhancing Convergence Rate and Generalization of an Optimization Machine --, Suggestions for Improving the Convergence --, Quick Prop --, Kullback-Leibler Distance --, Weight Decay --, Regression Methods for Classification Purposes --, Two-Group Regression and Linear Discriminant Function.
title_auth Supervised and unsupervised pattern recognition feature extraction and computational intelligence
title_full Supervised and unsupervised pattern recognition feature extraction and computational intelligence [edited by] Evangelia Micheli-Tzanakou
title_fullStr Supervised and unsupervised pattern recognition feature extraction and computational intelligence [edited by] Evangelia Micheli-Tzanakou
title_full_unstemmed Supervised and unsupervised pattern recognition feature extraction and computational intelligence [edited by] Evangelia Micheli-Tzanakou
title_in_hierarchy Supervised and unsupervised pattern recognition: feature extraction and computational intelligence (2017)
title_short Supervised and unsupervised pattern recognition
title_sort supervised and unsupervised pattern recognition feature extraction and computational intelligence
title_sub feature extraction and computational intelligence
topic Pattern recognition systems., Neural networks (Computer science), Mustererkennung, Neuronales Netz, Reconnaissance des formes (informatique), Réseaux neuronaux (informatique), Mustererkennung.
topic_facet Pattern recognition systems., Neural networks (Computer science), Mustererkennung, Neuronales Netz, Reconnaissance des formes (informatique), Réseaux neuronaux (informatique), Mustererkennung.