Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Manurung, Ruli"'
Recurrent Neural Networks (RNNs), which are a powerful scheme for modeling temporal and sequential data need to capture long-term dependencies on datasets and represent them in hidden layers with a powerful model to capture more information from inpu
Externí odkaz:
http://arxiv.org/abs/1706.02222
Publikováno v:
Language Resources and Evaluation, 2008 Sep 01. 42(3), 319-324.
Externí odkaz:
https://www.jstor.org/stable/41217882
Autor:
Manurung, Ruli1 (AUTHOR) maruli@cs.ui.ac.id, Ritchie, Graeme2 (AUTHOR), Thompson, Henry3 (AUTHOR)
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Mar2012, Vol. 24 Issue 1, p43-64. 22p.
Autor:
Manurung, Ruli1 (AUTHOR) maruli@cs.ui.ac.id, Ritchie, Graeme2 (AUTHOR), Pain, Helen1 (AUTHOR), Waller, Annalu3 (AUTHOR), O'Mara, Dave3 (AUTHOR), Black, Rolf3 (AUTHOR)
Publikováno v:
Applied Artificial Intelligence. Oct2008, Vol. 22 Issue 9, p841-869. 29p. 1 Black and White Photograph.
Publikováno v:
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation. :243-249
Publikováno v:
Proceedings of PACLIC. 22:272-281
PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 2008
Publikováno v:
In Swarm Intelligence and Bio-Inspired Computation 2013:295-312
Publikováno v:
2016 International Joint Conference on Neural Networks (IJCNN); 2016, p448-455, 8p
Publikováno v:
Advances in Self-Organizing Maps & Learning Vector Quantization: Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016; 2016, p61-71, 11p
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Dec2016, Vol. 6 Issue 6, p3174-3187, 14p