SOLVER MACHINE LEARNING SL

Projekt → On Translation as a Symmetry of Language Geometric Deep Learning (GDL) unifies diverse machine learning architectures under the principle of symmetry. By designing models… Beitrag ansehen → Projekt → Development of a Machine Learning Method for Evaluating Tool Wear in the Gear Skiving Process Based on the Workpiece Topography Abstract Manufacturing processes are influenced by external and internal disturbance variables, such as oscillations, clamping er… Beitrag ansehen → Projekt → Knowledge Graph Completion Through Ensemble Learning and Incremental KGE Approach Used for Recommendation in Business Process Models Recommendation of a new activity in process models is achieved through the completion of knowledge graph. In this paper we recomm… Beitrag ansehen → Projekt → GDPR-conform Machine Learning in cross-enterprise environments Cross-enterprise Machine Learning (ML) promises substantial utility gains by combining complementary data held by different organ… Beitrag ansehen → Projekt → Causal Local States: Achieving Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems While this thesis demonstrates the CLS framework using reservoir computing (RC) and nextgeneration reservoir computing (NGRC) as… Beitrag ansehen → Projekt → Optimization of the Biochemical Diagnosis of Pheochromocytomas and Paragangliomas: A Dual Approach to Reducing False-Positive Results and Improving Clinical Interpretation through Preanalytical Standardization and the Use of Artificial Intelligence Die Dissertation verfolgt einen dualen Ansatz mit dem Ziel einer verbesserten Diagnostik von Phäochromozytomen und Paragangliomen… Beitrag ansehen →