2010, ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
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2010, ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
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2010, ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
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2010, ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
2010, ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
2010
ISBN: 9783642067969
Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2006, 676 Seiten, Publiziert: 2010-11-22T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 254 black & white illustrat… Más…
2010, ISBN: 9783642067969
Pasta dura
Softcover reprint of hardcover 1st ed. 2006 Gepflegter, sauberer Zustand. 9902626/2 Versandkostenfreie Lieferung fuzzy systems,fuzzy system,neural network,decision tree,Support Vector Mac… Más…
2010, ISBN: 9783642067969
Pasta dura
[PU: Springer Berlin], Gepflegter, sauberer Zustand. 9902626/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, Softcover reprint of hardcover 1st ed. 2006, PayPal, Internation… Más…
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Detalles del libro - Multi-Objective Machine Learning (Studies in Computational Intelligence, Band 16)
EAN (ISBN-13): 9783642067969
ISBN (ISBN-10): 3642067964
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Jin, Yaochu, Springer
676 Páginas
Peso: 1,005 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2012-03-01T03:06:16-06:00 (Mexico City)
Página de detalles modificada por última vez el 2024-02-12T06:09:46-06:00 (Mexico City)
ISBN/EAN: 9783642067969
ISBN - escritura alterna:
3-642-06796-4, 978-3-642-06796-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: jin, yao
Título del libro: machine learning, objective
Datos del la editorial
Autor: Yaochu Jin
Título: Studies in Computational Intelligence; Multi-Objective Machine Learning
Editorial: Springer; Springer Berlin
660 Páginas
Año de publicación: 2010-11-22
Berlin; Heidelberg; DE
Impreso en
Peso: 1,021 kg
Idioma: Inglés
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XIV, 660 p. 254 illus.
BC; Mathematical and Computational Engineering; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Support Vector Machine; decision tree; evolution; fuzzy; fuzzy system; fuzzy systems; genetic algorithms; intelligent systems; learning; machine learning; model; multi-objective optimization; neural network; neural networks; optimization; Artificial Intelligence; Complex Systems; Statistical Physics and Dynamical Systems; Mathematical and Computational Engineering Applications; Artificial Intelligence; Complex Systems; Theoretical, Mathematical and Computational Physics; Künstliche Intelligenz; Kybernetik und Systemtheorie; Mathematische Physik; BB
Multi-Objective Clustering, Feature Extraction and Feature Selection.- Feature Selection Using Rough Sets.- Multi-Objective Clustering and Cluster Validation.- Feature Selection for Ensembles Using the Multi-Objective Optimization Approach.- Feature Extraction Using Multi-Objective Genetic Programming.- Multi-Objective Learning for Accuracy Improvement.- Regression Error Characteristic Optimisation of Non-Linear Models.- Regularization for Parameter Identification Using Multi-Objective Optimization.- Multi-Objective Algorithms for Neural Networks Learning.- Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming.- Multi-Objective Optimization of Support Vector Machines.- Multi-Objective Evolutionary Algorithm for Radial Basis Function Neural Network Design.- Minimizing Structural Risk on Decision Tree Classification.- Multi-objective Learning Classifier Systems.- Multi-Objective Learning for Interpretability Improvement.- Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers.- GA-Based Pareto Optimization for Rule Extraction from Neural Networks.- Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems.- Multi-objective Evolutionary Algorithm for Temporal Linguistic Rule Extraction.- Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.- Multi-Objective Ensemble Generation.- Pareto-Optimal Approaches to Neuro-Ensemble Learning.- Trade-Off Between Diversity and Accuracy in Ensemble Generation.- Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks.- Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification.- Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection.- Applications of Multi-Objective Machine Learning.- Multi-Objective Optimisation for Receiver Operating Characteristic Analysis.- Multi-Objective Design of Neuro-Fuzzy Controllers for Robot Behavior Coordination.- Fuzzy Tuning for the Docking Maneuver Controller of an Automated Guided Vehicle.- A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments.- Multi-Objective Neural Network Optimization for Visual Object Detection.Más, otros libros, que pueden ser muy parecidos a este:
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