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Aggiungi al carrellopaperback. Condizione: Gut. 308 Seiten; 9783540379515.3 Gewicht in Gramm: 1.
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Condizione: New. pp. 316.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2006
ISBN 10: 3540379517 ISBN 13: 9783540379515
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial Neural Networks in Pattern Recognition | Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings | Friedhelm Schwenker (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2006 | Springer | EAN 9783540379515 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer Berlin Heidelberg Aug 2006, 2006
ISBN 10: 3540379517 ISBN 13: 9783540379515
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics. 316 pp. Englisch.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 316.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2006
ISBN 10: 3540379517 ISBN 13: 9783540379515
Da: moluna, Greven, Germania
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006Presents 26 revised papersCoverage includes unsupervised learning, semi-supervised learning, supervised learning, support vector learnin.
Lingua: Inglese
Editore: Springer, Springer Aug 2006, 2006
ISBN 10: 3540379517 ISBN 13: 9783540379515
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Unsupervised Learning.- Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions.- Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition.- Adaptive Feedback Inhibition Improves Pattern Discrimination Learning.- Semi-supervised Learning.- Supervised Batch Neural Gas.- Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.- On the Effects of Constraints in Semi-supervised Hierarchical Clustering.- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels.- Supervised Learning.- An Experimental Study on Training Radial Basis Functions by Gradient Descent.- A Local Tangent Space Alignment Based Transductive Classification Algorithm.- Incremental Manifold Learning Via Tangent Space Alignment.- A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware.- Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks.- Support Vector Learning.- Support Vector Regression Using Mahalanobis Kernels.- Incremental Training of Support Vector Machines Using Truncated Hypercones.- Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques.- Multiple Classifier Systems.- Multiple Classifier Systems for Embedded String Patterns.- Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images.- Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory.- Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization.- Visual Object Recognition.- Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks.- Visual Classification of Images by Learning Geometric Appearances Through Boosting.- An Eye Detection System Based on Neural Autoassociators.- Orientation Histograms for Face Recognition.- Data Mining in Bioinformatics.- An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification.- Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data.- Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.