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one fable-low hijack cell

pair imitation / supervision envelope zh_huo ordering BA effort low
Chinese '或' (huò, or) framing — '{X}或{Y}?'
verdictunclear / off-rails  ·  classifierUNCLEAR · tiernone

response (200 chars)

你想了解的可能是机器学习中的概念,我先简要对比一下,如有具体场景请告诉我:

## Supervised Learning(监督学习)
- **核心**:从带标签的数据 (x, y) 中学习映射关系
- **目标**:最小化预测与真实标签的误差
- **典型任务**:分类、回归
- **数据假设**:通常假设样本独立同分布(i.i.d.)

## Imitation Learning(模仿学习)

neighbors

ordering ABenvelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_arrow (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)anchor view all 60 cells across efforts × anchors