A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
—The present work describes the analysis, modeling and control of a transformerless Boost-Buck power inverter used as a DC-AC power conditioning stage for grid-connected photovol...
Carlos Meza, Domingo Biel, Luis Martinez-Salamero,...
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
The success of the World Wide Web is boosting the development of multimedia database systems and their integration into the internet. For the documents stored and exchanged in the...