Soft-constrained Laplacian score for semi-supervised multi-label feature selection

Abdelouahid Alalga; Khalid Benabdeslem; Nora Taleb

doi:10.1007/s10115-015-0841-8

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Soft-constrained Laplacian score for semi-supervised multi-label feature selection

Abdelouahid Alalga Khalid Benabdeslem Nora Taleb

Year: 2015 Journal: Knowledge and Information Systems Vol: 47 (1)Pages: 75-98 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-015-0841-8

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Keywords:

Benchmark (surveying) Feature selection Computer science Artificial intelligence Context (archaeology) Feature (linguistics) Machine learning Relevance (law) Set (abstract data type) Pattern recognition (psychology) Selection (genetic algorithm) Measure (data warehouse) Labeled data Data mining

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Soft-constrained Laplacian score for semi-supervised multi-label feature selection

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