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Attribute-Value Learning

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Attribute-value learning refers to any learning task in which the each Instance is described by the values of some finite set of attributes (see Attribute). Each of these instances is often represented as a vector of attribute values, each position in the vector corresponding to a unique attribute.

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© 2017 Springer Science+Business Media New York

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(2017). Attribute-Value Learning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_43

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