Unverified50% confidenceFactExact time
The squared modulus in the Born rule is naturally non-negative, and after normalization automatically satisfies the probability distribution constraint, without needing to rely on an exponential function to enforce non-negativity as Softmax does.
1
Sources
50%
Confidence
Long-term
Relevance
10/10/2026
First Seen
Sources
Related Entities
Related Claims
Unverified支撑集不确定性原理指出一个非零函数和它的傅里叶变换不可能都被限制在很小的集合上70% similarUnverifiedSoftmax函数具有平移不变性，任意放大所有logit的尺度不改变预测类别，却会将输出概率压向极端值，是其天然的过度自信倾向69% similarUnverifiedQuantaMind坚持使用确定性评分，不依赖LLM来裁判结果，以避免双重随机性67% similarUnverifiedThe Cauchy distribution is a special case of the t-distribution with degrees of freedom ν=1; its expected value and variance do not exist, the sample mean does not converge to a stable value, and the CLT fails in this case.67% similarUnverifiedIn Naive Bayes, logarithmic probability space must be used to avoid underflow caused by multiplying together small probability values.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/995031API
curl https://kongchang.com/api/v1/knowledge/claims/995031MCP
get_claim(id=995031)