Supported by the State Grid Technology Item(52460D230002)。
Label correlations are an essential technique for data mining that solves the possible correlation problem between different labels in multi-label classification.Although this technique is widely used in multi-label c...
Supported by the National Natural Science Foundation of China(61672433);the Fundamental Research Fund for Shenzhen Science and Technology Innovation Committee(201703063000511,201703063000517);the National Cryptography Development Fund(MMJJ20170210);the Science and Technology Project of State Grid Corporation of China(522722180007)
This paper presents a novel algorithm for an extreme form of weak label learning, in which only one of all relevant labels is given for each training sample. Using genetic algorithm, all of the labels in the training ...
Supported by the Opening Fund of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education (93K-17-2010-K02);the Opening Fund of Key Discipline of Computer Soft-Ware and Theory of Zhejiang Province at Zhejiang Normal University (ZSDZZZZXK05)
Aiming at the problem of multi-label classification, a multi-label classification algorithm based on label-specific features is proposed in this paper. In this algorithm, we compute feature density on the positive and...