adding more to decision trees

This commit is contained in:
mhjensen
2019-12-12 16:56:49 +01:00
parent ed4bf0de50
commit 47d27e2663
10 changed files with 54 additions and 6 deletions
@@ -299,7 +299,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Dec 9, 2019</h4></center> <!-- date -->
<center><h4>Dec 12, 2019</h4></center> <!-- date -->
<br>
<p>
@@ -285,6 +285,14 @@ MathJax.Hub.Config({
<p>
Here we present <a href="https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf" target="_self">Drucker's AdaBoost</a> tailored for regression.
<p>
In bagging, each training example is equally likely to be
picked. In boosting, the probability of a particular
example being in the training set of a particular machine
depends on the performance of the prior machines on
that example. The following is a modification of
Adaboost by Drucker.
<p>
<p>
<!-- navigation buttons at the bottom of the page -->
@@ -299,7 +299,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Dec 9, 2019</h4></center> <!-- date -->
<center><h4>Dec 12, 2019</h4></center> <!-- date -->
<br>
<p>
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>&nbsp;<br>
<center><h4>Dec 9, 2019</h4></center> <!-- date -->
<center><h4>Dec 12, 2019</h4></center> <!-- date -->
<br>
<p>
@@ -2421,6 +2421,14 @@ plt.show()
<p>
Here we present <a href="https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf" target="_blank">Drucker's AdaBoost</a> tailored for regression.
<p>
In bagging, each training example is equally likely to be
picked. In boosting, the probability of a particular
example being in the training set of a particular machine
depends on the performance of the prior machines on
that example. The following is a modification of
Adaboost by Drucker.
</section>
@@ -224,7 +224,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Dec 9, 2019</h4></center> <!-- date -->
<center><h4>Dec 12, 2019</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -2386,6 +2386,14 @@ plt.show()
<p>
Here we present <a href="https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf" target="_blank">Drucker's AdaBoost</a> tailored for regression.
<p>
In bagging, each training example is equally likely to be
picked. In boosting, the probability of a particular
example being in the training set of a particular machine
depends on the performance of the prior machines on
that example. The following is a modification of
Adaboost by Drucker.
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -229,7 +229,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Dec 9, 2019</h4></center> <!-- date -->
<center><h4>Dec 12, 2019</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -2391,6 +2391,14 @@ plt<span style="color: #666666">.</span>show()
<p>
Here we present <a href="https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf" target="_blank">Drucker's AdaBoost</a> tailored for regression.
<p>
In bagging, each training example is equally likely to be
picked. In boosting, the probability of a particular
example being in the training set of a particular machine
depends on the performance of the prior machines on
that example. The following is a modification of
Adaboost by Drucker.
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -10,7 +10,7 @@
"<!-- Author: --> \n",
"**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
"\n",
"Date: **Dec 9, 2019**\n",
"Date: **Dec 12, 2019**\n",
"\n",
"Copyright 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
"\n",
@@ -2650,6 +2650,14 @@
"\n",
"Here we present [Drucker's AdaBoost](https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf) tailored for regression.\n",
"\n",
"In bagging, each training example is equally likely to be\n",
"picked. In boosting, the probability of a particular\n",
"example being in the training set of a particular machine\n",
"depends on the performance of the prior machines on\n",
"that example. The following is a modification of\n",
"Adaboost by Drucker.\n",
"\n",
"\n",
"## Gradient boosting: Basics with Steepest Descent\n",
"\n",
"Gradient boosting is again a similar technique to Adaptive boosting,\n",
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@@ -1995,6 +1995,14 @@ plt.show()
Here we present "Drucker's AdaBoost":"https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf" tailored for regression.
In bagging, each training example is equally likely to be
picked. In boosting, the probability of a particular
example being in the training set of a particular machine
depends on the performance of the prior machines on
that example. The following is a modification of
Adaboost by Drucker.
!split
===== Gradient boosting: Basics with Steepest Descent =====