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<oembed><version>1.0</version><provider_name>CS/DS Student Portfolios</provider_name><provider_url>https://portfolios.cs.earlham.edu</provider_url><author_name>Dong Cao</author_name><author_url>https://portfolios.cs.earlham.edu/index.php/author/dcaohuu18/</author_url><title>CS 488: Senior Capstone - Final Submission - CS/DS Student Portfolios</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="in9HuN11AX"&gt;&lt;a href="https://portfolios.cs.earlham.edu/index.php/2021/11/23/cs-488-senior-capstone-final-submission/"&gt;CS 488: Senior Capstone &#x2013; Final Submission&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://portfolios.cs.earlham.edu/index.php/2021/11/23/cs-488-senior-capstone-final-submission/embed/#?secret=in9HuN11AX" width="600" height="338" title="&#x201C;CS 488: Senior Capstone &#x2013; Final Submission&#x201D; &#x2014; CS/DS Student Portfolios" data-secret="in9HuN11AX" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>ABSTRACT: Voting is an important Ensemble Learning technique. However, there has not been much discussion about leveraging the base classifiers&#x2019; consensus on unlabeled data to better inform the final prediction. My proposed method identifies the data points where the ensemble &hellip; Read More</description><thumbnail_url>https://portfolios.cs.earlham.edu/wp-content/uploads/2021/11/ucm-software-diagram.png</thumbnail_url></oembed>
