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Efficient monte carlo methods for multi-dimensional learning with classifier chains

Pattern Recognition, no. 3 (2014): 1535-1546

Cited by: 67|Views9
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Abstract

Multi-dimensional classification (MDC) is the supervised learning problem where an instance is associated with multiple classes, rather than with a single class, as in traditional classification problems. Since these classes are often strongly correlated, modeling the dependencies between them allows MDC methods to improve their performan...More

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