Browsing Documentos de Trabajo e Informes Técnicos by Author "Rodríguez Fernández, Juan Diego"
Now showing items 1-3 of 3
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A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
Rodríguez Fernández, Juan Diego; Pérez Martínez, Aritz; Lozano Alonso, José Antonio (2009)In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ... -
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
Ortigosa Hernández, Jonathan; Rodríguez Fernández, Juan Diego; Alzate, Leandro; Lucania, Manuel; Inza Cano, Iñaki; Lozano Alonso, José Antonio (2011)
Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions expressed in text. Within this broad field, most of the work has been focused on either Sentiment Polarity classification, ... -
Learning Bayesian network classifiers for multidimensional supervised classification problems by means of a multiobjective approach
Rodríguez Fernández, Juan Diego; Lozano Alonso, José Antonio (2010)A classical supervised classification task tries to predict a single class variable based on a data set composed of a set of labeled examples. However, in many real domains more than one variable could be considered as a ...