Unverified50% confidenceFactExact time
Conditional shift refers to a change in the input distribution P(X) while the semantics of the target classes remain unchanged
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified概念漂移可形式化表达为 P_t(X, Y) ≠ P_{t+1}(X, Y)，变化可能来自特征分布P(X)的偏移（协变量偏移）、条件分布P(Y|X)的改变（真正的概念漂移）或两者兼有71% similarUnverified概念漂移（Concept Drift）指输入变量与目标变量之间的映射关系本身发生变化64% similarUnverified不变性要求输入变换后输出保持不变，数学上表述为f(g·x)=f(x)61% similarUnverifiedLLM在对话中依赖上下文动态推理能临场识别异常，但生成的代码脚本固化后逻辑分支是静态的，无法感知未见过的数据模式，这被称为分布偏移（Distribution Shift）60% similarUnverifiedThe effects of traditional configuration parameters are usually deterministic, whereas the impact of prompt wording changes on LLM behavior can be nonlinear and difficult to predict.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/912078API
curl https://kongchang.com/api/v1/knowledge/claims/912078MCP
get_claim(id=912078)