ReliefF-MI: An extension of ReliefF to multiple instance learning


In machine learning the so-called curse of dimensionality, pertinent to many classification algorithms, denotes the drastic increase in computational complexity and classification error with data having a great number of dimensions. In this context, feature selection techniques try to reduce dimensionality finding a new more compact representation of… (More)
DOI: 10.1016/j.neucom.2011.03.052


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Citations per Year

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