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Attribute-Value Learning

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Encyclopedia of Machine Learning and Data Mining
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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). 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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