The classification problem in machine learning: an overview with study cases in emotion recognition and music-speech differentiation
Fecha
2015
Autores
Rodríguez Cadavid, Santiago
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Editor
Universidad EAFIT
Resumen
This work addresses the well-known classification problem in machine learning -- The goal of this study is to approach the reader to the methodological aspects of the feature extraction, feature selection and classifier performance through simple and understandable theoretical aspects and two study cases -- Finally, a very good classification performance was obtained for the emotion recognition from speech