„Machine Learning Models“
Suchergebnisse
3.650 Treffer
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GANs schön kompliziert – Applications of Generative Adversarial Networks
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Cross-Hospital Infrastructure for Research, Statistical Analysis and the Creation and Deployment of Statistical Models based on Standardized Data of the German Data Integration Centers
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Explainable structured machine learning – insights into similarity, graph and transformer models
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Interpreting black-box machine learning models with decision rules and knowledge graph reasoning
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Machine and deep learning in present actuarial challenges
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Development of machine learning models for the prediction of the skin sensitization potential of small organic compounds
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Development of Surrogate Models for Divertor Power Load Prediction Based on Machine Learning Techniques
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Machine learning with finite impulse response models
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Prediction of simulation sickness induced by virtual reality driving simulation based on individual, behavioral, and physiological factors
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Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algorithms
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Machine Learning Models for the Prediction of Frequent Hitters in Biochemical and Biological Assays
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Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algorithms
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Analysis of Human Gut Metagenomes for the Prediction of Host Traits with Tree Ensemble Machine Learning Models
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Symmetries in string theory – application of machine learning to theoretical physics
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New approaches in habitat modelling of invasive mosquitoes for assessing the risk of pathogen transmissions and applications to Aedes japonicus japonicus and the West Nile virus in Germany
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Design of Induction Hardening-Tempering Processes by means of multi-physical models, neural networks and multi-fidelity parallel optimization
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Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models
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Concept Drift Handling in Information Systems: Preserving the Validity of Deployed Machine Learning Models
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Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models
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Time Dynamic Topic Models