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Univ. -Prof. Dr. Michael Buchmeiser University of Stuttgart

Replication data of Buchmeiser group for: "Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes", , , , , , and . Dataset, (2024)Related to: M. R. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, W. Frey,; Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes; Eur. J. Inorg. Chem., in press (2024). doi: 10.1002/ejic.202400082.
 

Other publications of authors with the same name

Relevance matrices in LVQ., , and . ESANN, page 37-42. (2007)The dynamics of Learning Vector Quantization., , and . ESANN, page 13-18. (2005)Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects., , , and . WSOM, volume 198 of Advances in Intelligent Systems and Computing, page 23-33. Springer, (2012)Insightful stress detection from physiology modalities using Learning Vector Quantization., , and . Neurocomputing, (2015)Non-Euclidean principal component analysis by Hebbian learning., , and . Neurocomputing, (2015)Galaxy classification: A machine learning analysis of GAMA catalogue data., , , , and . CoRR, (2019)Statistical Mechanics of On-Line Learning Under Concept Drift., , , , and . Entropy, 20 (10): 775 (2018)Statistical Mechanics of On-line Learning., , and . Similarity-Based Clustering, volume 5400 of Lecture Notes in Computer Science, page 1-22. Springer, (2009)Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders., , , , , , , and . ESANN, (2017)Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ., , , and . BrainComp, volume 10087 of Lecture Notes in Computer Science, page 131-141. Springer, (2015)