Probabilistic Neural Network Models for Sequential Data

EEG Electroencephalography RF Radio frequency SAR Specific absorption rate UQ Uncertainty quantification ANN Artificial neural network MCS Monte Carlo simulation ANNs Artificial

The Migrant Workers’ Project compliments our general advice service and aims to address the barriers that migrant workers experience in employment and when accessing services..

The main goal of this paper is to investigate how discrete data may be use during learning process in order to assure the quality of neural network used in

Time evolution of proteolysis index has been measured and modelled on five different types of pork muscle under different accurate temperature and water activity

Indeed, in Escherichia coli, resistance to nonbiocidal antibio fi lm polysaccharides is rare and requires numerous mutations that signi fi cantly alter the surface

have shown, in [CP12], that there exists no algorithm computing a simple and equitable fair division for n ≥ 3 players in the Roberston-Webb model.. The strategy used in these

The proposed architecture is a “neural network” implementation of a graphical model where all the variables are observed in the training set, with the hidden units playing a

On the contrary, fiscal policy has a crucial role in facilitating coordination of the private sector on a high growth equilibrium; a role that now it is not fulfilling..