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INTERSPEECH
2010
14 years 4 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...
ECAL
2007
Springer
15 years 4 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 4 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
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
15 years 4 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»
14 years 10 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