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European Symposium on Artificial Neural Networks ESANN 2014

Michel, Verleysen [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium 2014

Konferencia: European Symposium on Artificial Neural Networks ESANN 2014 2014-04-25 [Bruges, Belgium]

Azonosítók

MTMT: 2967384
ISBN: 9782874190957

Fejezetek

Grüning A. et al. Spiking neural networks: Principles and challenges. (2014) Megjelent: European Symposium on Artificial Neural Networks ESANN 2014 pp. 1-10
Bodó Zalán et al. Augmented Hashing for Semi-Supervised Scenarios. (2014) Megjelent: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 pp. 53-58
Ghio A et al. Byte The Bullet: Learning on Real-World Computing Architectures. (2014) Megjelent: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 pp. 71-80
Ghio Alessandro et al. Byte The Bullet: Learning on Real-World Computing Architectures.. (2014) Megjelent: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 pp. 71-80
Arpád Berta et al. Lightning Fast Asynchronous Distributed K-Means Clustering. (2014) Megjelent: European Symposium on Artificial Neural Networks ESANN 2014 pp. 99-104
Z Heszberger et al. An Optimization Neural Network Model with Time-Dependent and Lossy Dynamics. (2014) Megjelent: European Symposium on Artificial Neural Networks ESANN 2014 pp. 287-292
Hammer B et al. Learning and modelling big data. (2014) Megjelent: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 pp. 343-352

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