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	<title>Common Spatial Patterns &#8211; BIOENGINEER.ORG</title>
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		<title>Simulated Annealing Searches Brain-Signal Ensembles, but a Noisy Signal Undercuts It</title>
		<link>https://bioengineer.org/simulated-annealing-searches-brain-signal-ensembles-but-a-noisy-signal-undercuts-it/</link>
		
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		<pubDate>Sun, 11 Oct 2026 14:29:56 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[BCI Competition IV]]></category>
		<category><![CDATA[Brain-Computer Interface]]></category>
		<category><![CDATA[Common Spatial Patterns]]></category>
		<category><![CDATA[directed acyclic graph]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[ensemble learning]]></category>
		<category><![CDATA[metaheuristics]]></category>
		<category><![CDATA[model selection]]></category>
		<category><![CDATA[motor imagery]]></category>
		<category><![CDATA[simulated annealing]]></category>
		<category><![CDATA[subject-specific decoding]]></category>
		<category><![CDATA[validation overfitting]]></category>
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					<description><![CDATA[A new study casts motor-imagery EEG ensemble design as simulated-annealing search over nearly 10^20 graph topologies, and finds that noisy validation signals from short calibration blocks, not the optimiser, limit what such searches can achieve.]]></description>
		
		
		
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