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ICASSP
2011
IEEE
12 years 11 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
BIOCOMP
2007
13 years 9 months ago
Interaction Models for Biochemical Reactions
Abstract—This paper presents a stochastic modelling framework for complex biochemical reaction networks from a component-based perspective. Our approach takes into account the di...
Mila E. Majster-Cederbaum, Nils Semmelrock, Verena...
ICRA
1998
IEEE
101views Robotics» more  ICRA 1998»
13 years 12 months ago
An Approach to Reduction of Hysteresis in Smart Materials
This paper addresses the problem of reducing the hysteresis found in the actuation of most smart materials. They are divided in two groups: systems with no saturation (e.g. piezoe...
Juan Manuel Cruz-Hernández, Vincent Hayward
DATE
2002
IEEE
126views Hardware» more  DATE 2002»
14 years 18 days ago
Automated Modeling of Custom Digital Circuits for Test
Models meant for logic verification and simulation are often used for ATPG. For custom digital circuits, these models contain many tristate devices, which leads to lower fault co...
Soumitra Bose
ICASSP
2011
IEEE
12 years 11 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang