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	<title>online learning &#8211; BIOENGINEER.ORG</title>
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		<title>New AI Framework Slashes Labeling Costs in Shifting, Imbalanced Data Streams</title>
		<link>https://bioengineer.org/new-ai-framework-slashes-labeling-costs-in-shifting-imbalanced-data-streams/</link>
		
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		<pubDate>Mon, 05 Oct 2026 08:17:26 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[active learning]]></category>
		<category><![CDATA[adaptive algorithms]]></category>
		<category><![CDATA[Applied Intelligence]]></category>
		<category><![CDATA[class imbalance]]></category>
		<category><![CDATA[concept drift]]></category>
		<category><![CDATA[data streams]]></category>
		<category><![CDATA[labeling strategy]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MLIDSC]]></category>
		<category><![CDATA[multiclass classification]]></category>
		<category><![CDATA[online learning]]></category>
		<category><![CDATA[streaming data]]></category>
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					<description><![CDATA[Researchers have developed MLIDSC, a self-adaptive online active learning framework that maintains high accuracy on multiclass imbalanced data streams while sharply reducing expert labeling costs under concept drift.]]></description>
		
		
		
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