An approach of feature selection using graph-theoretic heuristic and hill climbing

Research article (Pattern Analysis and Applications, 2017) · cited 17× · AI/ML
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An approach of feature selection using graph-theoretic heuristic and hill climbing

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An approach of feature selection using graph-theoretic heuristic and hill climbing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An approach of feature selection using graph-theoretic heuristic and hill climbing. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-of-feature-selection-using-graph-theoretic-heuristic-and-hill-climbing
MLA “An approach of feature selection using graph-theoretic heuristic and hill climbing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-of-feature-selection-using-graph-theoretic-heuristic-and-hill-climbing.
BibTeX @misc{4ortxyz_an-approach-of-feature-selection-using-graph-theoretic-heuristic-and-hill-climbing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An approach of feature selection using graph-theoretic heuristic and hill climbing}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-of-feature-selection-using-graph-theoretic-heuristic-and-hill-climbing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An approach of feature selection using graph-theoretic heuristic and hill climbing — https://4ort.xyz/entity/an-approach-of-feature-selection-using-graph-theoretic-heuristic-and-hill-climbing (retrieved 2026-05-24)

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