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