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Learning Bayesian network classifiers for multidimensional supervised classification problems by means of a multiobjective approach
(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 ...
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
(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, ...
A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
(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 ...