Dear Editor, I read with interest the case report entitled " Aerococ-cus viridans urinary tract infection in a pediatric patient with secondary pseudohypoaldosteronism " by Leite and coworkers in Revista Argentina de Microbiología, volume 42, number 4. This report is important since it shows that aerococci can also cause disease in pediatric patients. Previous reports indicate that aerococci mo...

Is it possible to teach workers while crowdsourcing classification tasks? Amongst the challenges: (a) workers have different (unknown) skills, competence, and learning rate to which the teaching must be adapted, (b) feedback on the workers’ progress is limited, (c) we may not have informative features for our data (otherwise crowdsourcing may be unnecessary). We propose a natural Bayesian model...

This paper contains a description of experiments for the 2008 INEX XML-mining track. Our goal for the XML-mining track is to explore whether we can use link information to improve classification accuracy. Our approach is to propagate category probabilities over linked pages. We find that using link information leads to marginal improvements over a baseline that uses a Naive Bayes model. For the...

This paper presents a text classification procedure that has been developed in the context of an information extraction project. In the prototype that has been developed for this project, newspaper advertisements are processed by three main modules: first of all, a classification module associates a category to the advertisement. Then, a tagging module identifies textual information units that ...

How should affect be appropriately annotated and how should machine learning best be employed to map manifestations of affect to affect annotations? What is the use of ratings of affect for the study of affective computing and how should we treat them? These are the key questions this paper attempts to address by investigating the impact of dissimilar representations of annotated affect on the ...