Unverified50% confidenceFactExact time
Bracketing entropy is defined as the logarithm of the minimum number of brackets needed to cover a function class, and is commonly used to bound the supremum of empirical processes via the Dudley entropy integral, thereby controlling the convergence rate of the MLE.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe paper controls the convergence rate of the NPMLE by sharply characterizing the bracketing entropy of finite Gaussian mixture classes under local Hellinger distance.75% similarUnverifiedComputing Graph Entropy typically involves constructing a k-nearest-neighbor graph and computing eigenvalues or random-walk entropy; its complexity is higher than simple distance averaging, but it is feasible on medium-sized datasets.73% similarUnverifiedFor a stationary ergodic process, the entropy rate limit exists and equals the conditional entropy limit lim H(X_n|X_{n-1},...,X_1).72% similarUnverified跨分词器蒸馏前应先测量熵保留率或概率质量对齐度以避免在错误目标上浪费算力72% similarUnverified从信息论角度,DSL约束的本质是降低了输出分布的熵,一个等概率的N选1分布熵值为log₂N70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1083926API
curl https://kongchang.com/api/v1/knowledge/claims/1083926MCP
get_claim(id=1083926)