Task Sensitive Feature Exploration and Learning for Multitask Graph Classification
نویسندگان
چکیده
منابع مشابه
Manifold regularized multitask feature learning for multimodality disease classification.
Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint selection of common features across multiple modalities. However, one disadvantage of existing multimodality based methods is that they ignore the useful...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2017
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2016.2526058