Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2016
Genre:	EDV / Informatik
	angewandte informatik / Application software / Artificial Intelligence / Automated Pattern Recognition / C / Computation by Abstract Devices / Computer and Information Systems Applications / computer science / Computer Vision / Computers / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Image processing / Image Processing and Computer Vision / Information Retrieval / Information Systems Applications (incl. Internet) / Internet searching / Künstliche Intelligenz / Maschinelles Sehen, Bildverstehen / Optical data processing / pattern recognition / Theoretische Informatik / Theory of Computation / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783319466804
EAN-Code:	9783319466804
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#9950 - Lecture Notes in Computer Science Theoretical Computer Science and General Issues
Dimensionen:	H 235 mm / B 155 mm / D 41 mm
Gewicht:	10175 gr
Seiten:	663
Illustration:	XIX, 663 p. 254 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.