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» Modeling durations of syllables using neural networks
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ICASSP
2010
IEEE
14 years 9 months ago
A parallel point-process filter for estimation of goal-directed movements from neural signals
Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as ‘decoding’. Here, we develop a recursive Bayesian decoder for goaldirec...
Maryam Modir Shanechi, Gregory W. Wornell, Ziv Wil...
74
Voted
IJCNN
2007
IEEE
15 years 3 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long
ISNN
2009
Springer
15 years 4 months ago
Research on Segment Acoustic Model Based Mandarin LVCSR
SM has shown a better performance than HMM in connected word recognition system; however, no reports we have read show that SM has been applied in LVCSR as decoding acoustic model ...
Wenju Liu, Yun Tang, Shouye Peng
IJCNN
2008
IEEE
15 years 3 months ago
Airport noise simulation using neural networks
— Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. Thi...
Yingjie Yang, Chris J. Hinde, David Gillingwater
64
Voted
ESWA
2008
223views more  ESWA 2008»
14 years 9 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai