Artificial Neural Networks and Machine Learning – ICANN 2016

25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I

Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (Herausgeber)

Buch | Softcover

XXIX, 567 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-44777-3 (ISBN)

Infos

The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016.
The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume. 

Produkt-Details

• Erscheinungsdatum: 08.10.2016
• Reihe/Serie: Lecture Notes in Computer Science
• Reihe/Serie: Theoretical Computer Science and General Issues
• Zusatzinfo: XXIX, 567 p. 195 illus.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Algorithm analysis and problem complexity • Applications • artificial intelligence (incl. robotics) • Automated Theory • bio-embedded electronics • classification • Computational Complexity • Computer Science • Computing Methodologies • conference proceedings • cryptography • Formal Languages • Hardware • Informatics • Kernel Methods • learning in probabilistic graphical models • learning linear models • machine learning algorithms • network dynamics • Networks • Network Structure • Neural networks • regression trees • Research • Theory of Computation
• ISBN-10: 3-319-44777-7 / 3319447777
• ISBN-13: 978-3-319-44777-3 / 9783319447773
• Zustand: Neuware