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diff --git a/docs/01-Introduction/1.1-Introduction.md b/docs/01-Introduction/1.1-Introduction.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=20)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-07-26
+ 发布 | 2016-09-30 
 
 统计学习在科学、经济和工业的许多领域都扮演着重要角色．下面是学习问题中的一些例子．
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.1-Introduction.md b/docs/02-Overview-of-Supervised-Learning/2.1-Introduction.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=28)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-08-21
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.2-Variable-Types-and-Terminology.md b/docs/02-Overview-of-Supervised-Learning/2.2-Variable-Types-and-Terminology.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=28)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-08-21
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.3-Two-Simple-Approaches-to-Prediction.md b/docs/02-Overview-of-Supervised-Learning/2.3-Two-Simple-Approaches-to-Prediction.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=30)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-08-21, 2018-10-15
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.4-Statistical-Decision-Theory.md b/docs/02-Overview-of-Supervised-Learning/2.4-Statistical-Decision-Theory.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=37)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-08-22
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.5-Local-Methods-in-High-Dimensions.md b/docs/02-Overview-of-Supervised-Learning/2.5-Local-Methods-in-High-Dimensions.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=41)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 校订   |  2017-09-10
 
 至今为止我们已经仔细讨论了两个关于预测的学习方法：稳定但是有偏差的线性模型和不稳定但显然偏差较小的 $k$-最近邻估计．当有充分大的训练数据，我们似乎总会选择 $k$-最近邻平均来近似理论上的最优条件期望，因为我们能够找到一个相当大的离 $x$ 近的观测构成的邻域并且平均里面的观测值．在高维情形下这种方法以及我们的直觉都没有用，而且这种现象通常被称作 **维度的诅咒 (curse of dimensionality)** (Bellman, 1961[^1])．关于这个问题有很多的证明，我们将要仔细讨论一些．

diff --git a/...arning/2.6-Statistical-Models-Supervised-Learning-and-Function-Approximation.md b/...arning/2.6-Statistical-Models-Supervised-Learning-and-Function-Approximation.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=47)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2019-11-02 22:28:35
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.7-Structured-Regression-Models.md b/docs/02-Overview-of-Supervised-Learning/2.7-Structured-Regression-Models.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=51)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2019-04-02 19:56:12
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/2.8-Classes-of-Restricted-Estimators.md b/docs/02-Overview-of-Supervised-Learning/2.8-Classes-of-Restricted-Estimators.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=52)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-02-14, 2018-08-31
 状态 | Done
 

diff --git a/...ew-of-Supervised-Learning/2.9-Model-Selection-and-the-Bias-Variance-Tradeoff.md b/...ew-of-Supervised-Learning/2.9-Model-Selection-and-the-Bias-Variance-Tradeoff.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=56)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新 | 2018-02-14; 2018-02-21
 状态 | Done
 

diff --git a/docs/02-Overview-of-Supervised-Learning/Bibliographic-Notes.md b/docs/02-Overview-of-Supervised-Learning/Bibliographic-Notes.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=58)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-01
+ 发布 | 2016-09-30 
 更新    | 2018-02-21
 状态 | Done
 

diff --git a/docs/03-Linear-Methods-for-Regression/3.1-Introduction.md b/docs/03-Linear-Methods-for-Regression/3.1-Introduction.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=62)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-02
+ 发布 | 2016-09-30 
 更新 | 2017-10-31; 2018-02-22
 状态 | Done
 

diff --git a/...Linear-Methods-for-Regression/3.2-Linear-Regression-Models-and-Least-Squares.md b/...Linear-Methods-for-Regression/3.2-Linear-Regression-Models-and-Least-Squares.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=63) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-08-03                               |
+| 发布 | 2016-09-30 |
 |更新|2019-02-24 21:25:28|
 |状态|Done|
 

diff --git a/docs/03-Linear-Methods-for-Regression/3.3-Subset-Selection.md b/docs/03-Linear-Methods-for-Regression/3.3-Subset-Selection.md
@@ -3,7 +3,7 @@
 原文     | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=76)
       ---|---
 翻译     | szcf-weiya
-时间     | 2016-08-05
+ 发布 | 2016-09-30 
 更新 | 2019-02-24 22:22:02
 状态 | Done
 

diff --git a/docs/03-Linear-Methods-for-Regression/3.4-Shrinkage-Methods.md b/docs/03-Linear-Methods-for-Regression/3.4-Shrinkage-Methods.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=80) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-09-30:2016-10-14                    |
+| 发布 | 2016-09-30 |
 |更新| 2018-03-22, 2018-03-23, 2018-03-24|
 |状态|Done|
 

diff --git a/.../03-Linear-Methods-for-Regression/3.5-Methods-Using-Derived-Input-Directions.md b/.../03-Linear-Methods-for-Regression/3.5-Methods-Using-Derived-Input-Directions.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-10-14:2016-10-21                    |
+| 发布 | 2016-10-14 |
 | 更新 | 2018-03-24, 2018-04-24, 2018-04-25|
 | 状态 |Done|
 |备注| Exercise(2/4)|

diff --git a/...thods-for-Regression/3.6-A-Comparison-of-the-Selection-and-Shrinkage-Methods.md b/...thods-for-Regression/3.6-A-Comparison-of-the-Selection-and-Shrinkage-Methods.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-10-21:2016-10-21                    |
+| 发布 | 2016-10-21 |
 | 更新 | 2018-03-25|
 |状态|Done|
 |备注| [1 simulation](../notes/linear-reg/sim-3-18/index.html) |

diff --git a/...ear-Methods-for-Regression/3.8-More-on-the-Lasso-and-Related-Path-Algorithms.md b/...ear-Methods-for-Regression/3.8-More-on-the-Lasso-and-Related-Path-Algorithms.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=105) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-10-21                    |
+| 发布 | 2016-10-21 |
 |更新|2019-02-18 16:25:57|
 |状态 |Done|
 

diff --git a/docs/03-Linear-Methods-for-Regression/3.9-Computational-Considerations.md b/docs/03-Linear-Methods-for-Regression/3.9-Computational-Considerations.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=112) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-11-15                    |
+| 发布 | 2017-11-15 |
 | 更新 | 2019-01-31|
 |状态 | Done|
 

diff --git a/docs/03-Linear-Methods-for-Regression/Bibliographic-Notes.md b/docs/03-Linear-Methods-for-Regression/Bibliographic-Notes.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-09-09                    |
+| 发布 | 2017-06-09 |
 
 线性回归在很多统计教材中都有讨论，比如，Seber (1984)[^1], Weisberg (1980)[^2] 以及 Mardia et al. (1979)[^3]．岭回归由 Hoerl and Kennard (1970)[^4]提出，而 lasso 由Tibshirani (1996)[^5]提出．几乎在同时，lasso形式的惩罚在信号处理中的 basis pursuit 方法中被提出（Chen et al., 1998）[^6]．最小角回归过程由 Efron et al. (2004)[^7]等人提出；与这有关的是早期 Osborne et al. (2000a)[^8]和 Osborne et al. (2000b)[^9]的homotopy过程．他们的算法也利用了在 LAR/lasso 算法中的分段线性，但是缺少透明度 (transparency)．向前逐步准则在 Hastie et al. (2007)[^10]中进行了讨论．Park and Hastie (2007)[^11] 发展了类似用于广义回归模型的最小角回归的路径算法．偏最小二乘由 Wold (1975)[^12]提出．收缩方法的比较或许可以在 Copas (1983)[^13] 和 Frank and Friedman (1993)[^14]中找到．
 

diff --git a/docs/04-Linear-Methods-for-Classification/4.1-Introduction.md b/docs/04-Linear-Methods-for-Classification/4.1-Introduction.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=120) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-12-06                               |
+| 发布 | 2016-11-23 |
 |更新|2019-07-16 15:14:59|
 |状态|Done|
 

diff --git a/...near-Methods-for-Classification/4.2-Linear-Regression-of-an-Indicator-Matrix.md b/...near-Methods-for-Classification/4.2-Linear-Regression-of-an-Indicator-Matrix.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=122) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-12-06                               |
+| 发布 | 2016-12-16 |
 |更新|2019-07-16 15:54:18|
 |状态|Done|
 

diff --git a/docs/04-Linear-Methods-for-Classification/4.3-Linear-Discriminant-Analysis.md b/docs/04-Linear-Methods-for-Classification/4.3-Linear-Discriminant-Analysis.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=125) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-12-09, 2016-12-10                    |
+| 发布 | 2016-12-16 |
 |更新|2019-07-16 16:47:50|
 |状态|Done|
 

diff --git a/docs/04-Linear-Methods-for-Classification/4.4-Logistic-Regression.md b/docs/04-Linear-Methods-for-Classification/4.4-Logistic-Regression.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=138) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-12-09:2016-12-15                    |
+| 发布 | 2016-12-16 |
 | 更新 | 2019-11-05 21:29:05|
 |状态|Done|
 

diff --git a/docs/04-Linear-Methods-for-Classification/4.5-Separating-Hyperplanes.md b/docs/04-Linear-Methods-for-Classification/4.5-Separating-Hyperplanes.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=148) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2016-12-15:2016-12-15                    |
+| 发布 | 2016-12-16 |
 | 更新 | 2018-03-26|
 | 状态 | Done|
 

diff --git a/docs/04-Linear-Methods-for-Classification/Bibliographic-Notes.md b/docs/04-Linear-Methods-for-Classification/Bibliographic-Notes.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-09-09                    |
+| 发布 | 2017-06-09 |
 
 关于分类的一般性概述包括Duda et al. (2000)[^1]，Hand (1981)[^2]， McLachlan (1992)[^3]和Ripley (1996)[^4]．Mardia et al. (1979)[^5]对线性判别分析进行了简要的讨论．Michie et al. (1994)[^6]在benchmark数据集上比较了许多著名的分类器．线性分离超平面在Vapnik (1996)[^7]中有讨论．我们关于感知器的学习算法参照Ripley (1996)[^4]．
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/5.1-Introduction.md b/docs/05-Basis-Expansions-and-Regularization/5.1-Introduction.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-01-28                               |
+| 发布 | 2017-02-08 |
 |更新| 2019-09-01 16:37:39|
 |状态|Done|
 

diff --git a/...05-Basis-Expansions-and-Regularization/5.2-Piecewise-Polynomials-and-Splines.md b/...05-Basis-Expansions-and-Regularization/5.2-Piecewise-Polynomials-and-Splines.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=160) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-02-08:2017-02-16                               |
+| 发布 | 2017-02-08 |
 | 更新   | 2017-09-13& 2017-10-18 & 2018-01-04             |
 
 !!! note "更新笔记"

diff --git a/.../05-Basis-Expansions-and-Regularization/5.3-Filtering-and-Feature-Extraction.md b/.../05-Basis-Expansions-and-Regularization/5.3-Filtering-and-Feature-Extraction.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-02-16                               |
+| 发布 | 2017-02-17 |
 |更新|2018-01-04|
 
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/5.4-Smoothing-Splines.md b/docs/05-Basis-Expansions-and-Regularization/5.4-Smoothing-Splines.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=170) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-02-16                               |
+| 发布 | 2017-02-17 |
 |更新|2018-01-04, 2018-03-19|
 |状态|Done|
 

diff --git a/...sions-and-Regularization/5.5-Automatic-Selection-of-the-Smoothing-Parameters.md b/...sions-and-Regularization/5.5-Automatic-Selection-of-the-Smoothing-Parameters.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=175) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-12-06                               |
+| 发布 | 2017-12-06 |
 | 更新| 2018-03-30|
 | 状态 |Done|
 |习题| [Ex. 5.10](https://github.com/szcf-weiya/ESL-CN/issues/111), [Ex. 5.13](https://github.com/szcf-weiya/ESL-CN/issues/112) |

diff --git a/...05-Basis-Expansions-and-Regularization/5.6-Nonparametric-Logistic-Regression.md b/...05-Basis-Expansions-and-Regularization/5.6-Nonparametric-Logistic-Regression.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-09-13                               |
+| 发布 | 2017-09-14 |
 | 更新 | 2018-03-26, 2018-07-10|
 | 状态 | Done|
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/5.7-Multidimensional-Splines.md b/docs/05-Basis-Expansions-and-Regularization/5.7-Multidimensional-Splines.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=181) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-02-09                               |
+| 发布 | 2017-06-09 |
 |  状态  | Done                              |
 
 

diff --git a/...s-and-Regularization/5.8-Regularization-and-Reproducing-Kernel-Hibert-Spaces.md b/...s-and-Regularization/5.8-Regularization-and-Reproducing-Kernel-Hibert-Spaces.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=188) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2018-02-03; 2018-02-09                               |
+| 发布 | 2017-06-09 |
 |更新|  2020-02-26 22:52:43|
 | 状态 | Done |
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/5.9-Wavelet-Smoothing.md b/docs/05-Basis-Expansions-and-Regularization/5.9-Wavelet-Smoothing.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=193) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-12-07                               |
+| 发布 | 2017-12-07 |
 | 更新 | 2020-06-27 21:55:17|
 | 状态 | Done|
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/Appendix-Computations-for-B-splines.md b/docs/05-Basis-Expansions-and-Regularization/Appendix-Computations-for-B-splines.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-10-22                    |
+| 发布 | 2017-10-22 |
 | 更新 |2019-09-09 22:07:46|
 | 状态 | Done |
 

diff --git a/docs/05-Basis-Expansions-and-Regularization/Bibliographic-Notes.md b/docs/05-Basis-Expansions-and-Regularization/Bibliographic-Notes.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-09-10                    |
+| 发布 | 2017-06-09 |
 
 样条和B样条在de Boor (1978)[^1]中有详细讨论．Green and Silverman (1994)[^2]和Wahba (1990)给出了光滑样条以及thin-plate样条的；后者也产生核Hilbert空间．关于采用RKHS方法的非参回归技巧的联系可以参见Girosi et al. (1995)[^3] 和Evgeniou et al. (2000)[^4]．如5.2.3节所示，对函数数据建模，在Ramsay and Silverman (1997)[^5]中有详细介绍．
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.0-Introduction.md b/docs/06-Kernel-Smoothing-Methods/6.0-Introduction.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-01-28                               |
+| 发布 | 2017-03-01 |
 | 更新 | 2018-07-18|
 |状态|Done|
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.1-One-Dimensional-Kernel-Smoothers.md b/docs/06-Kernel-Smoothing-Methods/6.1-One-Dimensional-Kernel-Smoothers.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-02-27：2017-02-28                    |
+| 发布 | 2017-03-01 |
 | 更新 | 2018-07-18|
 | 状态 |Done|
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.2-Selecting-the-Width-of-the-Kernel.md b/docs/06-Kernel-Smoothing-Methods/6.2-Selecting-the-Width-of-the-Kernel.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-03-01：2017-03-01                    |
+| 发布 | 2017-03-01 |
 | 更新 | 2018-07-18|
 | 状态|Done|
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.3-Local-Regression-in-Rp.md b/docs/06-Kernel-Smoothing-Methods/6.3-Local-Regression-in-Rp.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=219) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-03-01：2017-03-02                    |
+| 发布 | 2017-03-01 |
 | 更新 | 2018-08-14|
 | 状态 | Done|
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.4-Structured-Local-Regression-Models-in-Rp.md b/docs/06-Kernel-Smoothing-Methods/6.4-Structured-Local-Regression-Models-in-Rp.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=220) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-03-03：2017-03-03                    |
+| 发布 | 2016-09-30 |
 | 更新|2019-07-30 09:44:04|
 | 状态| Done|
 

diff --git a/docs/06-Kernel-Smoothing-Methods/6.5-Local-Likelihood-and-Other-Models.md b/docs/06-Kernel-Smoothing-Methods/6.5-Local-Likelihood-and-Other-Models.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-03-04：2017-03-04                    |
+| 发布 | 2017-03-04 |
 |更新 | 2018-03-05|
 |状态|Done|
 

diff --git a/...06-Kernel-Smoothing-Methods/6.6-Kernel-Density-Estimation-and-Classification.md b/...06-Kernel-Smoothing-Methods/6.6-Kernel-Density-Estimation-and-Classification.md
@@ -3,7 +3,7 @@
 | 原文   | [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf#page=227) |
 | ---- | ---------------------------------------- |
 | 翻译   | szcf-weiya                               |
-| 时间   | 2017-03-04                    |
+| 发布 | 2017-03-04 |
 |更新|2019-04-16 21:01:35|
 | 状态 | Done|