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APA4ort.xyz Knowledge Graph. (2026). Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-approaches-for-l-2-l-0-regularization-and-applications-to-feature-selection-in-svm
MLA“Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-approaches-for-l-2-l-0-regularization-and-applications-to-feature-selection-in-svm.
BibTeX@misc{4ortxyz_efficient-approaches-for-l-2-l-0-regularization-and-applications-to-feature-selection-in-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-approaches-for-l-2-l-0-regularization-and-applications-to-feature-selection-in-svm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM — https://4ort.xyz/entity/efficient-approaches-for-l-2-l-0-regularization-and-applications-to-feature-selection-in-svm (retrieved 2026-05-24)