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	<title>Frontiers in Manufacturing Technology &#8211; BIOENGINEER.ORG</title>
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		<title>15,360 experiments reveal how to configure Bayesian optimization for manufacturing</title>
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		<category><![CDATA[Bayesian]]></category>
		<category><![CDATA[Bayesian experimental design]]></category>
		<category><![CDATA[Bayesian Optimization]]></category>
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		<category><![CDATA[Frontiers in Manufacturing Technology]]></category>
		<category><![CDATA[Gaussian processes]]></category>
		<category><![CDATA[manufacturing]]></category>
		<category><![CDATA[process optimization]]></category>
		<category><![CDATA[production]]></category>
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					<description><![CDATA[Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, and laser powers, and the machine responds with outputs like product quality, cycle time, and equipment effectiveness. Finding the parameter settings]]></description>
		
		
		
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