Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings

This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018.
The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. 
Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Zusammenfassung

This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018.
The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. 
Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Produktdetails

• Mitarbeit: Luca Pancioni (Herausgeber), Friedhel Schwenker (Herausgeber), Friedhelm Schwenker (Herausgeber), Edmondo Trentin (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 30.11.2018
• EAN: 9783319999777
• ISBN: 978-3-31-999977-7
• Seiten: 408
• Abmessung: 155 mm x 24 mm x 234 mm
• Gewicht: 634 g
• Illustration: XI, 408 p. 132 illus.
• Serien: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; C, Data Mining, Artificial Intelligence, Mustererkennung, Natürliche Sprachen und maschinelle Übersetzung, Maschinelles Sehen, Bildverstehen, Wissensbasierte Systeme, Expertensysteme, computer science, Supervised Learning, Computer Vision, Image Processing and Computer Vision, pattern recognition, Data Mining and Knowledge Discovery, Automated Pattern Recognition, Optical data processing, Image processing, Expert systems / knowledge-based systems, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), Semantics, Support Vector Machines (SVM)