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A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS
A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS
Summary
A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS is a scholarly article[1].
Key Facts
A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-sequential-minimal-optimization-based-support-vector-machines-vote-feature-intervals-and-logistic
MLA“A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-sequential-minimal-optimization-based-support-vector-machines-vote-feature-intervals-and-logistic.
BibTeX@misc{4ortxyz_a-comparative-study-of-sequential-minimal-optimization-based-support-vector-machines-vote-feature-intervals-and-logistic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-sequential-minimal-optimization-based-support-vector-machines-vote-feature-intervals-and-logistic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS — https://4ort.xyz/entity/a-comparative-study-of-sequential-minimal-optimization-based-support-vector-machines-vote-feature-intervals-and-logistic (retrieved 2026-05-24)
