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Developing Open Source Educational Resources for Machine Learning and Data Science.

, , , , , , и . Teaching ML, том 207 из Proceedings of Machine Learning Research, стр. 1-6. PMLR, (2022)

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Bernd Bischl

Katrin Bischl

René Berndt

Einfluss eines diabaten Turboladermodells auf die Gesamtprozess-Simulation abgasturboaufgeladener PKW-Dieselmotoren. TU Berlin, (2009)

Helga Berndt

Heinz Bernd

 

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Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution, , , и . (2022)Semi-Structured Deep Piecewise Exponential Models., , , , , и . CoRR, (2020)Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision., , , и . CoRR, (2022)Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition., , и . CoRR, (2019)fmeffects: An R Package for Forward Marginal Effects., , , , и . CoRR, (2023)Mind the Gap: Measuring Generalization Performance Across Multiple Objectives., , , , , и . IDA, том 13876 из Lecture Notes in Computer Science, стр. 130-142. Springer, (2023)Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences., , , , и . ICMLA, стр. 566-573. IEEE, (2023)General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models., , , , , , , , и . xxAI@ICML, том 13200 из Lecture Notes in Computer Science, стр. 39-68. Springer, (2020)DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis., , , , и . PAKDD (2), том 13281 из Lecture Notes in Computer Science, стр. 249-261. Springer, (2022)To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning., , , , и . IJCNN, стр. 1-8. IEEE, (2015)