8. An Introduction to MCMC for Machine Learning (5)
MCMC前沿 4.1 收斂與完美抽樣 收斂性的診斷html 肯定馬爾可夫鏈的長度是一項困難的任務。 在實踐中，人們常常丟棄一組初始樣本（預燒），以免起始點致使誤差。 若是鏈穩定下來，人們能夠應用幾個圖形和統計測試來大體評估。通常來講，這些測試都沒有提供徹底滿意的診斷。web 幾位理論家試圖約束混合時間，即馬爾可夫鏈K的分佈接近目標p(x)所需的最小步數。 咱們用總變化範數Δx(t)Δ_x(t)Δs
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相關文章
- 1. An Introduction to Machine Learning with Python
- 2. Introduction to Machine Learning
- 3. Learning Machine Learning, Part 1: An Introduction
- 4. Machine Learning Notes - Introduction
- 5. Machine Learning introduction
- 6. Introduction - What is machine learning
- 7. AN INTRODUCTION TO HADOOP
- 8. [Machine Learning] RBM Brief Introduction
- 9. An annotated path to start with Machine Learning
- 10. An example machine learning notebook