Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders
Summary
Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders is a scholarly article[1].
Key Facts
Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders. Retrieved May 24, 2026, from https://4ort.xyz/entity/direct-optimization-of-the-discovery-significance-in-machine-learning-for-new-physics-searches-in-particle-colliders
MLA“Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/direct-optimization-of-the-discovery-significance-in-machine-learning-for-new-physics-searches-in-particle-colliders.
BibTeX@misc{4ortxyz_direct-optimization-of-the-discovery-significance-in-machine-learning-for-new-physics-searches-in-particle-colliders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders}}, year = {2026}, url = {https://4ort.xyz/entity/direct-optimization-of-the-discovery-significance-in-machine-learning-for-new-physics-searches-in-particle-colliders}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Direct optimization of the discovery significance in machine learning for new physics searches in particle colliders — https://4ort.xyz/entity/direct-optimization-of-the-discovery-significance-in-machine-learning-for-new-physics-searches-in-particle-colliders (retrieved 2026-05-24)
