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Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
Research article (Knowledge and Information Systems, 2018) · cited 71× · AI/ML
Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
Summary
Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction is a scholarly article[1].
Key Facts
Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/local-and-global-characteristics-based-kernel-hybridization-to-increase-optimal-support-vector-machine-performance-for-s
MLA“Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/local-and-global-characteristics-based-kernel-hybridization-to-increase-optimal-support-vector-machine-performance-for-s.
BibTeX@misc{4ortxyz_local-and-global-characteristics-based-kernel-hybridization-to-increase-optimal-support-vector-machine-performance-for-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction}}, year = {2026}, url = {https://4ort.xyz/entity/local-and-global-characteristics-based-kernel-hybridization-to-increase-optimal-support-vector-machine-performance-for-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction — https://4ort.xyz/entity/local-and-global-characteristics-based-kernel-hybridization-to-increase-optimal-support-vector-machine-performance-for-s (retrieved 2026-05-24)
