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	<title>web page classification Archives &#8212; MATLAB Number ONE</title>
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		<title>Genetic Algorithms for web page classification</title>
		<link>https://matlab1.com/shop/matlab-code/genetic-algorithms-web-page-classification/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 08 Sep 2016 13:38:03 +0000</pubDate>
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					<description><![CDATA[<p>The genetic algorithm calculated the weights wij for each term. Initially I assigned random real valued weights (between 0 and 1). The GA computed the best weights using the training dataset. Then I classified each test page by computing the cosine similarity of the vector (weights) learned by the GA with the normalized tf vector of the [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/genetic-algorithms-web-page-classification/">Genetic Algorithms for web page classification</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Particle Swarm Optimization for web page classification</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 07 Sep 2016 12:06:41 +0000</pubDate>
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					<description><![CDATA[<p>The fast developments on the computer and networking technologies have increased the popularity of the Web which has caused the inclusion of more and more information to the Web. However, the explosive growth of the information on the Web has brought some search problems: (i) general purpose search engines often return too many irrelevant results when users are searching for specific [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/particle-swarm-optimization-web-page-classification/">Particle Swarm Optimization for web page classification</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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