1 Weighted Least Squares
1. Focusing accuracy Discounting imprecision Often however the magnitude of the noise is not constant, and thedata are heteroskedastic. Sampling bias. In many situations, our data comes from a survey,
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相关文章
- 1. Least Squares & Nearest Neighbors
- 2. LSGAN(Least Squares GANs)
- 3. ALS（Alternating Least Squares）
- 4. Least Squares Generative Adversarial Networks(LSGAN)
- 5. Least Squares 最小二乘
- 6. Numerical Optimization之Least-Squares Problems
- 7. Machine learning(3) Linear Discriminant Functions--Least-squares classification
- 8. GAN-overview reading note（2）Least Squares-GAN
- 9. 最小二乘法(Least Mean Squares algorithm)
- 10. recursive least squares —— 递推最小二乘法