Unverified50% confidenceFactExact time
The depth of the binary tree is at the log N level, and a Query traverses log N layers along the path rather than scanning all N Keys, reducing overall complexity from N×N to N×log N.
1
Sources
50%
Confidence
Long-term
Relevance
10/10/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen concentrates N-gram embedding memory in a large lookup layer at the front of the model, unlike DeepSeek which distributes it across multiple layers.65% similarUnverifiedMAX档延长的是模型的思维链（Chain of Thought）深度，属于单线程垂直延伸的深树式推理62% similarVerifiedThe HNSW algorithm was proposed by Yury Malkov and others in 2016, reducing search complexity from O(n) to O(log n) through a multi-layer graph structure.60% similarUnverifiedAI自主探索模式通过max_depth参数进行深度控制，配合URL去重集合和每层最大分支数限制来防止无限循环59% similarUnverified当需要表征的特征数量远超可用神经元数量时，网络会利用高维空间中近似正交向量数量远超维度数量的特性（Johnson-Lindenstrauss引理）将多个特征叠加压缩编码到同一组神经元上58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/995069API
curl https://kongchang.com/api/v1/knowledge/claims/995069MCP
get_claim(id=995069)