Compartir
Machine Learning for Networking: 4th International Conference, Mln 2021, Virtual Event, December 1-3, 2021, Proceedings (en Inglés)
Renault, Éric ; Boumerdassi, Selma ; Mühlethaler, Paul (Autor)
·
Springer
· Tapa Blanda
Machine Learning for Networking: 4th International Conference, Mln 2021, Virtual Event, December 1-3, 2021, Proceedings (en Inglés) - Renault, Éric ; Boumerdassi, Selma ; Mühlethaler, Paul
81,89 €
86,20 €
Ahorras: 4,31 €
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 24 de Julio y el
Lunes 12 de Agosto.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Machine Learning for Networking: 4th International Conference, Mln 2021, Virtual Event, December 1-3, 2021, Proceedings (en Inglés)"
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
