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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Expectation-based Generative Models - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="dh1lSCpKAE"&gt;&lt;a href="https://glosarix.com/en/glossary/expectation-based-generative-models-en/"&gt;Expectation-based Generative Models&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/expectation-based-generative-models-en/embed/#?secret=dh1lSCpKAE" width="600" height="338" title="&#x201C;Expectation-based Generative Models&#x201D; &#x2014; Glosarix" data-secret="dh1lSCpKAE" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Expectation-Based Generative Models are a type of statistical model that generates data based on expected outcomes from a given distribution. These models focus on the ability to predict and simulate data that reflects inherent patterns and characteristics of an existing dataset. Through complex algorithms, these models can learn from training data and subsequently generate [&hellip;]</description></oembed>
