Home ›
Entities
› academia
› TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases
Research article (Applied Intelligence, 2020) · cited 16× · AI/ML
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases
Summary
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases is a scholarly article[1].
Key Facts
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases'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). TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases. Retrieved May 24, 2026, from https://4ort.xyz/entity/tenla-an-approach-based-on-controllable-tensor-decomposition-and-optimized-lasso-regression-for-judgement-prediction-of-
MLA“TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tenla-an-approach-based-on-controllable-tensor-decomposition-and-optimized-lasso-regression-for-judgement-prediction-of-.
BibTeX@misc{4ortxyz_tenla-an-approach-based-on-controllable-tensor-decomposition-and-optimized-lasso-regression-for-judgement-prediction-of-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases}}, year = {2026}, url = {https://4ort.xyz/entity/tenla-an-approach-based-on-controllable-tensor-decomposition-and-optimized-lasso-regression-for-judgement-prediction-of-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases — https://4ort.xyz/entity/tenla-an-approach-based-on-controllable-tensor-decomposition-and-optimized-lasso-regression-for-judgement-prediction-of- (retrieved 2026-05-24)
