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98
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TNN
1998
92views more  TNN 1998»
14 years 11 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
87
Voted
IJIT
2004
15 years 1 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
ICASSP
2011
IEEE
14 years 3 months ago
Improved models for Mandarin speech-to-text transcription
This paper describes recent advances at LIMSI in Mandarin Chinese speech-to-text transcription. A number of novel approaches were introduced in the different system components. Th...
Lori Lamel, Jean-Luc Gauvain, Viet-Bac Le, Ilya Op...
ACL
1992
15 years 25 days ago
Association-Based Natural Language Processing with Neural Networks
This paper describes a natural language processing system reinforced by the use of association of words and concepts, implemented as a neural network. Combining an associative net...
Kazuhiro Kimura, Takashi Suzuoka, Shin'ya Amano
WCNC
2008
IEEE
15 years 6 months ago
Neural Network-Based Approach for Adaptive Density Control and Reliability in Wireless Sensor Networks
A primary constraint in wireless sensor networks (WSNs) is obtaining reliable and prolonged network operation with power-limited sensor nodes. Most of the approaches to the energy ...
Renita Machado, Sirin Tekinay