Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II: Lecture Notes in Computer Science, cartea 10614
Editat de Alessandra Lintas, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E.P. Villaen Limba Engleză Paperback – 25 oct 2017
The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning.
There are 63 short paper abstracts that are included in the back matter of the volume.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 329.60 lei 6-8 săpt. | |
| Springer International Publishing – 25 oct 2017 | 329.60 lei 6-8 săpt. | |
| Springer International Publishing – 25 oct 2017 | 646.05 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319686110
ISBN-10: 3319686119
Pagini: 801
Ilustrații: XXXI, 801 p. 200 illus.
Dimensiuni: 155 x 235 mm
Greutate: 1.15 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319686119
Pagini: 801
Ilustrații: XXXI, 801 p. 200 illus.
Dimensiuni: 155 x 235 mm
Greutate: 1.15 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
From Perception to Action.- From Neurons to Networks.- Brain Imaging; Recurrent Neural Networks.- Neuromorphic Hardware.- Brain Topology and Dynamics.- Neural Networks Meet Natural and Environmental Sciences.- Convolutional Neural Networks.- Games and Strategy.- Representation and Classification.- Clustering.- Learning from Data Streams and Time Series.- Image Processing and Medical Applications.- Advances in Machine Learning.
Caracteristici
Includes supplementary material: sn.pub/extras