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TNN
2008
177views more  TNN 2008»
15 years 7 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
TSP
2008
115views more  TSP 2008»
15 years 7 months ago
Robustness of Adaptive Narrowband Beamforming With Respect to Bandwidth
Abstract--This paper addresses the robustness of adaptive narrowband beamforming with respect to bandwidth based on the loss of performance in terms of signal-to-interference-plus-...
Marc Oudin, Jean Pierre Delmas
UAIS
2002
77views more  UAIS 2002»
15 years 7 months ago
Dialoguing with developers and suppliers of adaptive computer technologies: Data and recommendations
The authors report on findings on computer technology needs and concerns of 725 Canadian college and university students with a wide range of disabilities. The vast majority of thi...
Jennison V. Asuncion, Catherine S. Fichten, Myrtis...
ICASSP
2010
IEEE
15 years 6 months ago
Adaptive beam tracking for interference alignment for multiuser time-varying MIMO interference channels
The problem of interference alignment in time-varying MIMO interference channels is considered. To reduce complexity, an adaptive algorithm for beam vector design is proposed base...
Heejung Yu, Youngchul Sung, Haksoo Kim, Yong Hoon ...
SIAMSC
2010
151views more  SIAMSC 2010»
15 years 6 months ago
An Adaptive Finite Element Method for the Eddy Current Model with Circuit/Field Couplings
We develop an adaptive finite element method for solving the eddy current model with voltage excitations for complicated three dimensional structures. The mathematical model is ba...
Junqing Chen, Zhiming Chen, Tao Cui, Lin-Bo Zhang