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Probing for Sparse and Fast Variable Selection with Model-Based Boosting.

, , , and . Comp. Math. Methods in Medicine, (2017)

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Model and Algorithm Selection in Statistical Learning and Optimization.. Technical University Dortmund, Germany, (2014)Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting"., , , and . Comp. Math. Methods in Medicine, (2018)A comparative study on large scale kernelized support vector machines., , , , and . Adv. Data Analysis and Classification, 12 (4): 867-883 (2018)An Open Source AutoML Benchmark., , , , , and . CoRR, (2019)Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning., , , , , and . CoRR, (2019)Learning Multiple Defaults for Machine Learning Algorithms., , , , and . CoRR, (2018)Taking machine learning research online with OpenML., , and . BigMine, volume 41 of JMLR Workshop and Conference Proceedings, page 1-4. JMLR.org, (2015)Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark., , , , and . EMO (1), volume 9018 of Lecture Notes in Computer Science, page 64-78. Springer, (2015)Benchmarking Classification Algorithms on High-Performance Computing Clusters., , and . GfKl, page 23-31. Springer, (2012)Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement., , , and . GECCO, page 1319-1326. ACM, (2015)