Home ›
Entities
› academia
› Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy
Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy
Research article (Vibrational Spectroscopy, 2019) · cited 38× · AI/ML
Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy
Summary
Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy is a scholarly article[1].
Key Facts
Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy'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). Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy. Retrieved May 24, 2026, from https://4ort.xyz/entity/local-tangent-space-alignment-and-relevance-vector-machine-as-nonlinear-methods-for-estimating-sensory-quality-of-tea-us
MLA“Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/local-tangent-space-alignment-and-relevance-vector-machine-as-nonlinear-methods-for-estimating-sensory-quality-of-tea-us.
BibTeX@misc{4ortxyz_local-tangent-space-alignment-and-relevance-vector-machine-as-nonlinear-methods-for-estimating-sensory-quality-of-tea-us_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy}}, year = {2026}, url = {https://4ort.xyz/entity/local-tangent-space-alignment-and-relevance-vector-machine-as-nonlinear-methods-for-estimating-sensory-quality-of-tea-us}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy — https://4ort.xyz/entity/local-tangent-space-alignment-and-relevance-vector-machine-as-nonlinear-methods-for-estimating-sensory-quality-of-tea-us (retrieved 2026-05-24)
