多标签学习:LIFT: Multi-Label Learning with Label-Specific Features @(Machine Learning) Intro LIFT是张敏灵教授提出的多标签(multi-label)的学习方法。关于multi-label的介绍可以看我这篇博客,其中主要描述了multi-class、multi-label、multi-task的定义和区别。 本人根... ...
Label-specific featuresFeature relevanceMutual informationLabel distribution learningLabel distribution learning, where deal with label ambiguity by describing the degree of relevance of each label to a specific instance. As a novel machine learning paradigm, the curse of dimensionality is one of the ...
The combination of these two new feature subsets is the final set of label-specific features. Extensive experiments on a total of 14 benchmark datasets verify the competitive performance of Letter against the existing state-of-the-art MLL methods....
Future work can focus on exploring other feasible techniques to obtain label-specific features (e.g., feature selection) and further utilizing the specific information residing in different decomposition strategies. More information:Bin-Bin Jia et al, Learning label-specific features for decomposition-...
In this paper, we proposed a new approach called multi-label learning with label-specific features using correlation information (LSF-CI) to learn label-specific features for each label with the consideration of both correlation information in label space and correlation information in feature space....
specific features and third-order label correlations. On the one hand, for each label, we choose the same number of positive and negative representative instances inspired by density peaks. These instances are used to generate a new data matrix with label-specific features. On the other hand, ...
Language Resources and Evaluation (2022) Learning multi-label label-specific features via global and local label correlations Dawei Zhao Qingwei Gao Dong Sun Soft Computing (2022)Download PDF Sections Figures References Abstract Introduction Material and Methods Results and Discussion Conclusion and ...
designed a fast accurate multi-label feature selection algorithm based on the filter method to find label-specific features, which can be used for online problems simultaneously [65]; Xu et al. proposed a FRS-LIFT method to solve the problem of increasing feature dimensionalities and redundant ...
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Protein labeling is a technique used in molecular biology to detect or track the presence, location, or activity of specific proteins in a sample. 1 What is DNA label? DNA labeling is a technique used in molecular biology to identify, track, or screen for DNA sequences in a sample. ...