Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection

Khalid Benabdeslem; Haytham Elghazel; Mohammed Hindawi

doi:10.1007/s10115-015-0901-0

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Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection

Khalid Benabdeslem Haytham Elghazel Mohammed Hindawi

Year: 2015 Journal: Knowledge and Information Systems Vol: 49 (3)Pages: 1161-1185 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-015-0901-0

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Keywords:

Feature selection Subspace topology Pairwise comparison Ensemble learning Artificial intelligence Computer science Machine learning Constraint (computer-aided design) Resampling Feature (linguistics) Selection (genetic algorithm) Noise (video) Set (abstract data type) Pattern recognition (psychology) Data mining Mathematics Image (mathematics)

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Chemical Sensor Technologies

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Physical Sciences → Computer Science → Artificial Intelligence

Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection

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