《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
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Apr 26, 2026 - Jupyter Notebook
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theoretical-machine-learning
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This project dives into mathematical foundations of PAC learning theory while adding Python examples that make core ideas like generalization, sample complexity, VC dimension, halfspaces, perceptrons, and logical semantics executable and easier to inspect.
perceptron learning-theory generalization pac-learning vc-dimension sample-complexity ai-foundations theoretical-machine-learning probably-approximately-correct-learning pac-semantics
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Jun 24, 2026 - TeX
This repository contains the paper and artifact for: "Finite-Budget Structural Identifiability under Bounded Observation" The official archived version of the paper is available on Zenodo: https://doi.org/10.5281/zenodo.18736348
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Mar 4, 2026
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