- Maximum Entropy 모델 - Bayesian Brain 이론 - Predictive Coding - Free Energy Principle - MemGPT 구현 - ANN Search 알고리즘 - Information Theory와 메모리 - Trust & Reputation 시스템 - Actor-Critic 강화학습 - 최신 메모리 시스템 서베이
463 B
463 B
Approximate Nearest Neighbor Search in High Dimensions
- Authors: P. Indyk, R. Motwani
- Year: 1998
- Summary: A seminal paper on Approximate Nearest Neighbor (ANN) search algorithms. It introduces techniques like Locality-Sensitive Hashing (LSH) that allow for sub-linear time search in high-dimensional spaces, which is the foundation for fast memory retrieval in modern vector databases.
- Link: https://dl.acm.org/doi/10.1145/276698.276876