Home ›
Entities
› academia
› Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem
Research article (Knowledge-Based Systems, 2017) · cited 110× · AI/ML
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem
Summary
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem is a scholarly article[1].
Key Facts
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/ramp-loss-k-support-vector-classification-regression-a-robust-and-sparse-multi-class-approach-to-the-intrusion-detection
MLA“Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ramp-loss-k-support-vector-classification-regression-a-robust-and-sparse-multi-class-approach-to-the-intrusion-detection.
BibTeX@misc{4ortxyz_ramp-loss-k-support-vector-classification-regression-a-robust-and-sparse-multi-class-approach-to-the-intrusion-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem}}, year = {2026}, url = {https://4ort.xyz/entity/ramp-loss-k-support-vector-classification-regression-a-robust-and-sparse-multi-class-approach-to-the-intrusion-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem — https://4ort.xyz/entity/ramp-loss-k-support-vector-classification-regression-a-robust-and-sparse-multi-class-approach-to-the-intrusion-detection (retrieved 2026-05-24)
