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<title><![CDATA[Comentarios al libro: SCALABLE PATTERN RECOGNITION ALGORITHMS]]></title>
<link><![CDATA[https://api.biblioeteca.com/biblioeteca.web/titulo/scalable-pattern-recognition-algorithms]]></link>
<description><![CDATA[This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.]]></description>
<lastBuildDate>Wed, 30 Sep 2026 08:26:10 +0000</lastBuildDate>
<language>es</language>
<copyright>Copyright 202 6BiblioEteca Technologies SL</copyright>

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