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Fachgespräch zwischen Industrie und Hochschule. Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. Improving Robustness of Stopping Multi-Objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision Space.
Fachgespräch zwischen Industrie und Hochschule. Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. Improving Robustness of Stopping Multi-Objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision Space.
Includes around 30 faculty members, 150 PhD students, and 150 MS students. Research in ISL focuses on algorithms for information processing, their mathematical underpinnings, and a broad range of applications. Core topics include information theory and coding, control and optimization, signal processing, and learning and statistical inference. ISL has active interdisciplinary programs with colleagues in Electrical .
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