Learned Look-Ahead Splitting Rule for CART
This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.16440v1 Announce Type: new Abstract: Classification and regression trees are typically constructed using a greedy splitting rule that maximizes the immediate reduction in prediction error at each node. Although this strategy is computationally efficient, it can miss splits that yield sma…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-09-16 04:00 · arXiv stat.ML
Learned Look-Ahead Splitting Rule for CART
More stories
- AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI
- Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Introducing Astra for Law — OpenAI News
- Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
Get the daily brief of stories like this at 6:30 every morning →