Unverified50% confidenceFactExact time
In nonparametric density estimation, the number of samples required to achieve ε accuracy grows at a rate of ε^(-D) with the ambient dimension D.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAssuming the data follows a Gaussian distribution, maximizing the likelihood is equivalent to minimizing the mean squared error.64% similarUnverifiedFor the D-RISE explanation method, the Spearman correlation coefficient between D-Deletion faithfulness and detection strength falls between 0.70 and 0.82.63% similarUnverifiedConformal prediction provides finite-sample validity guarantees without making parametric assumptions about the data distribution, meaning that prediction intervals cover the true value at a frequency of at least 1-α at confidence level α.62% similarUnverifiedDRET-enhanced DistilBERT, with only 66 million parameters, achieves performance on core metrics such as balanced accuracy, recall, and ROC-AUC that is comparable to biomedical-specific models an order of magnitude larger60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/976004API
curl https://kongchang.com/api/v1/knowledge/claims/976004MCP
get_claim(id=976004)