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Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study
High dimensionality and class imbalance have been largely recognized as important issues in machine learning. A vast amount of literature has indeed investigated suitable approaches to address the multiple challenges that arise when dealing with high-dimensional feature spaces (where each problem in...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725666/ https://www.ncbi.nlm.nih.gov/pubmed/35036539 http://dx.doi.org/10.7717/peerj-cs.832 |