Jose Angel Martin Baos

A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs featured image

A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

Several common general purpose optimization algorithms are compared for finding A- and D-optimal designs for different types of statistical models of varying complexity, including …

ricardo-garcia-rodenas
Discrete choice modeling using Kernel Logistic Regression featured image

Discrete choice modeling using Kernel Logistic Regression

The Kernel Logistic Regression is a popular technique in machine learning. In this work this technique is applied to the field of discrete choice modeling. This approach is …

jose-angel-martin-baos
A general approach to fuzzy community detection in social networks featured image

A general approach to fuzzy community detection in social networks

The present work addresses the problem of community detection in social networks. Determination of the community structure permits to identify the organizational and functional …

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