Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction
نویسندگان
چکیده
منابع مشابه
Label Preserving Dimensionality Reduction
Many tasks, such as face recognition, require learning a classifier from a small number of high dimensional training samples. These tasks suffer from the curse of dimensionality: the number of training samples required to accurately learn a classifier increases exponentially with the dimensionality of the data. One solution to this problem is dimensionality reduction. Common methods for dimensi...
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ژورنال
عنوان ژورنال: Complexity
سال: 2018
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2018/6292143