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Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.

, , , , , , , и . IJCCI (FCTA), стр. 51-63. SciTePress, (2016)

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Michael Krug

X-ray crystallographic analysis of the archaeal transcriptional regulator TrmB and development of a graphical user interface for the monochromatic diffraction data processing software XDS. Uni Konstanz, (2009)

Michael Bernateck

Komplexes Regionales Schmerzsyndrom Typ 1 (M.Sudeck): neue Aspekte zur Symptomatologie, Pathogenese, Diagnostik und Therapie. MedH Hannover, habilitation, (2009)

Michael Schoierer

NS-Diktatur, Anomie und Demokratisierung Westdeutschlands. Uni Augsburg, (2007)

Michael Bode

Le groupe international de sociétés: le système de conflit de lois en droit comparé français et allemand. HU Berlin, (2009)

Michael Liecke

Subnationale Clusterpolitik: die Biotechnologiepolitik deutscher Länder im Vergleich. Uni München, (2009)
 

Другие публикации лиц с тем же именем

Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming., и . EUROCAST (1), том 8111 из Lecture Notes in Computer Science, стр. 308-315. Springer, (2013)Operon C++: an efficient genetic programming framework for symbolic regression., , и . GECCO Companion, стр. 1562-1570. ACM, (2020)Understanding and Preparing Data of Industrial Processes for Machine Learning Applications., , и . CoRR, (2021)Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning., , , , и . EUROCAST, том 9520 из Lecture Notes in Computer Science, стр. 326-333. Springer, (2015)Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems., , , , , , , и . IJCCI (FCTA), стр. 51-63. SciTePress, (2016)Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming., , , , и . GPTP, стр. 1-19. Springer, (2015)Nonlinear Least Squares Optimization of Constants in Symbolic Regression., , , и . EUROCAST (1), том 8111 из Lecture Notes in Computer Science, стр. 420-427. Springer, (2013)Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets., , , , , , и . EUROCAST (1), том 6927 из Lecture Notes in Computer Science, стр. 400-407. Springer, (2011)Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process., , , , и . EUROCAST (1), том 6927 из Lecture Notes in Computer Science, стр. 264-271. Springer, (2011)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression., , , , , и . GPTP, стр. 1-17. Springer, (2016)