7406f6f11e
- 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
574 B
574 B
A Maximum Entropy Approach to Natural Language Processing
- Authors: Adam L. Berger, Stephen A. Della Pietra, Vincent J. Della Pietra
- Year: 1996
- Summary: A foundational paper on the principle of maximum entropy in computational linguistics. It argues that the best statistical model, given a set of constraints, is the one that is otherwise as uniform as possible (i.e., has the highest entropy). This principle is crucial for defining unbiased prior probabilities in Bayesian models of language and memory.
- Link: https://aclanthology.org/J96-1002/