Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale

Research article (Neural Information Processing Systems, 2016) · cited 19× · AI/ML
Press Enter · cited answer in seconds

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale

Summary

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale is a scholarly article[1].

Key Facts

  • Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. Retrieved May 24, 2026, from https://4ort.xyz/entity/yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale
MLA “Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale.
BibTeX @misc{4ortxyz_yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale}}, year = {2026}, url = {https://4ort.xyz/entity/yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale — https://4ort.xyz/entity/yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale · Last refreshed: