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In recent years, there has been an increasing interest in music generation using machine learning techniques typically used for classification or regression tasks. This is a field still in its infancy, and most attempts are still characterized by the imposition of many restrictions to the music composition process in order to favor the creation of “interesting” outputs. Furthermore, and most importantly,...
The nearest neighbor classification rule is a memory-based technique, in that its standard learning phase consists in storing the entire set of examples, or training set. During classification, the nearest neighbors of the incoming test object are retrieved in the store and their labels are combined to determine the answer. In order to alleviate both the spatial and temporal cost of this strategy,...
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