Artificial Neural Networks and Machine Learning – ICANN 2016
25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
Seiten
2016
|
1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-44780-3 (ISBN)
Springer International Publishing (Verlag)
978-3-319-44780-3 (ISBN)
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.
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.
Deep Learning.- Classification and Forecasting.- Recognition and Navigation.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XXIX, 557 p. 173 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Applications • artificial intelligence (incl. robotics) • Automata 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 • machine learning approaches • network dynamics • Networks • Network Structure • Neural networks • Neural systems • regression trees • Research • Theory of Computation |
| ISBN-10 | 3-319-44780-7 / 3319447807 |
| ISBN-13 | 978-3-319-44780-3 / 9783319447803 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Eine praxisorientierte Einführung
Buch | Softcover (2025)
Springer Vieweg (Verlag)
CHF 53,15
Buch | Softcover (2025)
Reclam, Philipp (Verlag)
CHF 11,20
Eine kurze Geschichte der Informationsnetzwerke von der Steinzeit bis …
Buch | Hardcover (2024)
Penguin (Verlag)
CHF 39,95
