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Sidney Zhang
2026-05-14 13:54:52 +08:00
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concepts/symbolic-regression.md
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@@ -47,7 +47,7 @@ Recent work enables differentiable symbolic regression:
### EML Trees (2026)
[[eml-universal-operator|Odrzywołek's EML representation]] enables gradient-based optimization:
[[eml-operator|Odrzywołek's EML representation]] enables gradient-based optimization:
- Uniform tree structure (all nodes are `eml` operators)
- Fully differentiable
- Optimizable with standard deep learning optimizers (Adam)
@@ -95,6 +95,6 @@ Recent work enables differentiable symbolic regression:
## Related Concepts
- [[eml-universal-operator]]: A universal operator enabling gradient-based symbolic regression
- [[eml-operator]]: A universal operator enabling gradient-based symbolic regression
- [[andrzej-odrzywolek]]: Researcher who discovered the EML universal operator
- [[computerized-adaptive-testing]]: CAT 中的动态选题策略与符号回归中的自适应搜索在"探索-利用权衡"上有结构相似性