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A description of perturbation-based methods developed in machine learning to augment novel optimization methods with str
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The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International
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A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Proce
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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers
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This book approaches VLSI neural networks from a practical viewpoint, using case studies to show the full process of VLS
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Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic model
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Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial com
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Pfaff presents a daring perspective on the long-standing puzzle of what arousal is. He argues that, beneath our mental f
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