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» Sensor Errors Prediction Using Neural Networks
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208
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INTERSPEECH
2010
14 years 12 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...
129
Voted
ECAL
2007
Springer
15 years 11 months ago
New Models for Old Questions: Evolutionary Robotics and the 'A Not B' Error
Abstract. In psychology the ‘A not B’ error, whereby infants perseverate in reaching to the location where a toy was previously hidden after it has been moved to a new location...
Rachel Wood, Ezequiel A. Di Paolo
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 11 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
153
Voted
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
15 years 11 months ago
Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network
Abstract— This paper introduces an adaptive sampling algorithm for a mobile sensor network to estimate a scalar field. The sensor network consists of static nodes and one mobile...
Bin Zhang, Gaurav S. Sukhatme
NPL
2006
85views more  NPL 2006»
15 years 5 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling