Fuzzy min-max neural networks for categorical data: application to missing data imputation

In section 1.2, AA results with different strategies, such as erasing the cases with missing data or imputation, are compared versus our proposal, with a well-known benchmark data

Among the most widely- used prediction techniques are the Naive Bayes classifier (NB), as a modern statistical technique, and the Artificial Neural Networks (ANN) and Decision

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

No obstante, como esta enfermedad afecta a cada persona de manera diferente, no todas las opciones de cuidado y tratamiento pueden ser apropiadas para cada individuo.. La forma

Missing estimates for total domestic participant spend were estimated using a similar approach of that used to calculate missing international estimates, with average shares applied

Among the different areas of Deep Learning, the combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) is an important novelty for

In this work, we consider the following methods for identi- fying the parameters of the redundant manipulator robot: least squares, Adaline neural networks, Hopfield neural networks

These users can be common users of the Observatory’s public website (general audience), the graduates involved in the Observatory’s studies, the Spanish universities that