[26] Kevin Ellis - Algorithms for Learning to Induce Programs
The Thesis Review
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Bayesian Approaches in Language Learning
This chapter explores the use of Bayesian frameworks in learning algorithms, emphasizing their ability to manage uncertainty in models. It focuses on the modular approach to linguistic modeling and the development of probabilistic models that can efficiently learn across languages by integrating prior knowledge and statistical strengths.
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