This commit is contained in:
Morten Hjorth-Jensen
2025-09-22 06:33:12 +02:00
parent ef3465a8cd
commit a7b6575e84
6 changed files with 130 additions and 132 deletions
+2 -3
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@@ -433,9 +433,6 @@ $$
$$
<p>&nbsp;<br>
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( {\bm f} \) with the target/output data \( \boldsymbol{y} \).</b>
<p>The three terms represent the square of the bias of the learning
method, which can be thought of as the error caused by the simplifying
assumptions built into the method. The second term represents the
@@ -467,6 +464,8 @@ $$
<p>&nbsp;<br>
<p>that is the rewriting in terms of the so-called bias, the variance of the model \( \boldsymbol{\tilde{y}} \) and the variance of \( \boldsymbol{\epsilon} \).</p>
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( \boldsymbol{f} \) with the target/output data \( \boldsymbol{y} \).</b>
</section>
<section>
+2 -3
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@@ -454,9 +454,6 @@ $$
\mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]=\frac{1}{n}\sum_i(f_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2+\frac{1}{n}\sum_i(\tilde{y}_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2+\sigma^2.
$$
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( {\bm f} \) with the target/output data \( \boldsymbol{y} \).</b>
<p>The three terms represent the square of the bias of the learning
method, which can be thought of as the error caused by the simplifying
assumptions built into the method. The second term represents the
@@ -483,6 +480,8 @@ $$
<p>that is the rewriting in terms of the so-called bias, the variance of the model \( \boldsymbol{\tilde{y}} \) and the variance of \( \boldsymbol{\epsilon} \).</p>
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( \boldsymbol{f} \) with the target/output data \( \boldsymbol{y} \).</b>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="a-way-to-read-the-bias-variance-tradeoff">A way to Read the Bias-Variance Tradeoff </h2>
+2 -3
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@@ -531,9 +531,6 @@ $$
\mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]=\frac{1}{n}\sum_i(f_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2+\frac{1}{n}\sum_i(\tilde{y}_i-\mathbb{E}\left[\boldsymbol{\tilde{y}}\right])^2+\sigma^2.
$$
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( {\bm f} \) with the target/output data \( \boldsymbol{y} \).</b>
<p>The three terms represent the square of the bias of the learning
method, which can be thought of as the error caused by the simplifying
assumptions built into the method. The second term represents the
@@ -560,6 +557,8 @@ $$
<p>that is the rewriting in terms of the so-called bias, the variance of the model \( \boldsymbol{\tilde{y}} \) and the variance of \( \boldsymbol{\epsilon} \).</p>
<b>Note that in order to derive these equations we have assumed we can replace the unknown function \( \boldsymbol{f} \) with the target/output data \( \boldsymbol{y} \).</b>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="a-way-to-read-the-bias-variance-tradeoff">A way to Read the Bias-Variance Tradeoff </h2>
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+122 -122
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@@ -2,7 +2,7 @@
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@@ -1904,7 +1904,7 @@
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@@ -1921,7 +1921,7 @@
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@@ -1940,7 +1940,7 @@
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@@ -1957,7 +1957,7 @@
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@@ -1972,7 +1972,7 @@
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@@ -1982,7 +1982,7 @@
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@@ -1998,7 +1998,7 @@
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@@ -2010,7 +2010,7 @@
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@@ -2021,7 +2021,7 @@
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@@ -2033,7 +2033,7 @@
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@@ -2043,7 +2043,7 @@
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@@ -2057,7 +2057,7 @@
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@@ -2069,7 +2069,7 @@
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@@ -2079,7 +2079,7 @@
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@@ -2091,7 +2091,7 @@
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@@ -2103,7 +2103,7 @@
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@@ -2116,7 +2116,7 @@
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@@ -2259,7 +2259,7 @@
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@@ -2278,7 +2278,7 @@
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@@ -2321,7 +2321,7 @@
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@@ -2335,7 +2335,7 @@
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+2 -1
View File
@@ -199,7 +199,7 @@ We can rewrite this as
\]
!et
_Note that in order to derive these equations we have assumed we can replace the unknown function ${\bm f}$ with the target/output data $\bm{y}$._
The three terms represent the square of the bias of the learning
method, which can be thought of as the error caused by the simplifying
@@ -228,6 +228,7 @@ which, using the abovementioned expectation values can be rewritten as
!et
that is the rewriting in terms of the so-called bias, the variance of the model $\bm{\tilde{y}}$ and the variance of $\bm{\epsilon}$.
_Note that in order to derive these equations we have assumed we can replace the unknown function $\bm{f}$ with the target/output data $\bm{y}$._
!split
===== A way to Read the Bias-Variance Tradeoff =====