Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
Summary
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds is a scholarly article[1].
Key Facts
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds's instance of is recorded as scholarly article[2].
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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). Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. Retrieved May 24, 2026, from https://4ort.xyz/entity/select-to-better-learn-fast-and-accurate-deep-learning-using-data-selection-from-nonlinear-manifolds
MLA“Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/select-to-better-learn-fast-and-accurate-deep-learning-using-data-selection-from-nonlinear-manifolds.
BibTeX@misc{4ortxyz_select-to-better-learn-fast-and-accurate-deep-learning-using-data-selection-from-nonlinear-manifolds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds}}, year = {2026}, url = {https://4ort.xyz/entity/select-to-better-learn-fast-and-accurate-deep-learning-using-data-selection-from-nonlinear-manifolds}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds — https://4ort.xyz/entity/select-to-better-learn-fast-and-accurate-deep-learning-using-data-selection-from-nonlinear-manifolds (retrieved 2026-05-24)
