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120
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NECO
2007
115views more  NECO 2007»
15 years 2 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
CAINE
2001
15 years 4 months ago
Model Reduction Scheme of State-Affine Systems
In this paper, a new method for the approximation of discrete time state-affine systems is proposed. The method is based on the diagonalization of proposed generalized controllabi...
Samir A. Al-Baiyat
124
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DAC
2002
ACM
16 years 3 months ago
A solenoidal basis method for efficient inductance extraction
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Hemant Mahawar, Vivek Sarin, Weiping Shi
103
Voted
IPPS
2007
IEEE
15 years 8 months ago
A Parallel Hybrid Method of GMRES on GRID System
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
Ye Zhang, Guy Bergére, Serge G. Petiton
121
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RTSS
1998
IEEE
15 years 6 months ago
Symbolic Schedulability Analysis of Real-Time Systems
We propose a unifying method for analysis of scheduling problems in real-time systems. The method is based on ACSR-VP, a real-time process algebra with value-passing capabilities....
Hee-Hwan Kwak, Insup Lee, Anna Philippou, Jin-Youn...