A survey on semi-supervised feature selection methods
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Publication:2290330
DOI10.1016/j.patcog.2016.11.003zbMath1429.68239OpenAlexW2550999023MaRDI QIDQ2290330
Razieh Sheikhpour, Mohammad Ali Zare Chahooki, Mehdi Agha Sarram, Sajjad Gharaghani
Publication date: 27 January 2020
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2016.11.003
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Cites Work
- Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction
- A discrete particle swarm optimization method for feature selection in binary classification problems
- Feature selection via sensitivity analysis of SVM probabilistic outputs
- Sparsest solutions of underdetermined linear systems via \( \ell _q\)-minimization for \(0<q\leqslant 1\)
- A semisupervised feature selection with support vector machine
- Embedded feature-selection support vector machine for driving pattern recognition
- Constraint score: A new filter method for feature selection with pairwise constraints
- Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems
- Introduction to Semi-Supervised Learning
- 10.1162/153244303322753616
- Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
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