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NECO
2007
115views more  NECO 2007»
13 years 7 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...
JBCB
2010
123views more  JBCB 2010»
13 years 6 months ago
Characterizing the Space of interatomic Distance Distribution Functions Consistent with Solution Scattering Data
: Scattering of neutrons and x-rays from molecules in solution offers alternative approaches to the studying of a wide range of macromolecular structures in their solution state w...
Paritosh A. Kavathekar, Bruce A. Craig, Alan M. Fr...
INFORMS
1998
100views more  INFORMS 1998»
13 years 7 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
ICASSP
2011
IEEE
12 years 11 months ago
Random block-angular matrices for distributed data storage
Random binary matrices have found many applications in signal processing and coding. Rateless codes, for example, are based on the random generation of codewords by means of inner...
Paulo Jorge S. G. Ferreira, Bruno Jesus, Jose Viei...
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
13 years 12 months ago
Test pattern generation for width compression in BIST
The main objectives of Built-In Self Test (BIST) are the design of test pattern generator circuits which achieve the highest fault coverage, require the shortest sequence of test ...
Paulo F. Flores, Horácio C. Neto, K. Chakra...