In the field of supervised machine learning, classification is a central task that assigns labels based on their probability distribution. Classification often follows the MAP criterion, but this can be inadequate when categories are ordered, as in...
Presenteeism due to illness is defined as work attendance despite being ill and is considered a public health problem. Researchers of the UAB reviewed the analytical methodology of the problem, and have proposed a new methodology that could be used in a range of...
Researchers at the UAB have developed a predictive control model for an income account, for companies and that applies to all divisions of the company. Using dynamic programming, they generate a prediction...
Sensitivity analyses, which relate the variability of output values to the input values of a process, are applied to a very broad range of research fields. Researcher Andrea Saltelli observed however that 96% of these types of analyses published in scientific journals...
Mathematical programming problems try to solve processes which have different solutions by finding the optimal solution, the one that best fits the pre-established conditions of the problem. The classic procedures work towards finding an optimal...
