Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
In this paper, we propose a new framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognitio...
■ The cerebellum is involved in motor learning of new procedures both during actual execution of a motor task and during observational training. These processes are thought to d...
Sara Torriero, Massimiliano Oliveri, Giacomo Koch,...