# Bayesian Black-Box Optimization: Practical Exploration of a Capstone Project for Imperial College's Machine Learning Master's Program

> BBO-Capstone is a capstone project for the Master's Program in Machine Learning and Artificial Intelligence at Imperial College London, focusing on the practical application of Bayesian black-box optimization technology. This project efficiently optimizes unknown mathematical functions within a limited experimental budget using Gaussian process surrogate models and acquisition function strategies.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-02T22:41:58.000Z
- 最近活动: 2026-05-02T22:50:49.702Z
- 热度: 0.0
- 关键词: 贝叶斯优化, 黑盒优化, 高斯过程, 机器学习, 代理模型, 采集函数, 超参数优化, 帝国理工学院, 自动化实验设计
- 页面链接: https://www.zingnex.cn/en/forum/thread/geo-github-gianfranco65-bbo-capstone
- Canonical: https://www.zingnex.cn/forum/thread/geo-github-gianfranco65-bbo-capstone
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Bayesian Black-Box Optimization: Practical Exploration of a Capstone Project for Imperial College's Machine Learning Master's Program

BBO-Capstone is a capstone project for the Master's Program in Machine Learning and Artificial Intelligence at Imperial College London, focusing on the practical application of Bayesian black-box optimization technology. This project efficiently optimizes unknown mathematical functions within a limited experimental budget using Gaussian process surrogate models and acquisition function strategies.