151 search results - page 18 / 31 » Structured Training for Neural Network Transition-Based Pars... |
IJCNN
2008
IEEE
15 years 5 months ago
2008
IEEE
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
NN
2007
Springer
14 years 10 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
ASC
2000
14 years 12 months ago
2000
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...