Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Code generation methods for digital signal processors are increasingly hampered by the combination of tight timing constraints imposed by the algorithms and the limited capacity o...
This paper presents a general method for computing transient sensitivities using the adjoint method in event driven simulation algorithms that employ piecewise linear device model...
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...