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Calibrated Machine Learning Models: How To Get Them and Why They Matter
Mikkel Jordahn
Cognitive Systems
Department of Applied Mathematics and Computer Science
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Ph.D. thesis
697
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Dive into the research topics of 'Calibrated Machine Learning Models: How To Get Them and Why They Matter'. Together they form a unique fingerprint.
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Keyphrases
Neural Network
100%
Machine Learning Models
100%
Uncertainty Quantification
80%
Uncertainty Calibration
40%
Optimization Methods
20%
Adaptation
20%
X-ray
20%
Electronic Learning
20%
Safety-critical Applications
20%
Image Generation
20%
Machine Learning
20%
Model Calibration
20%
Model Accuracy
20%
Self-driving Cars
20%
Training Methods
20%
Predicted Probability
20%
Neural Network Ensemble
20%
Learning Management System
20%
Popular Media
20%
Bayesian Neural Network
20%
Bayesian Optimization
20%
Black-box Optimization
20%
Diagnostic Aid
20%
Probabilistic Machine Learning
20%
Deep Ensemble
20%
Text Generation
20%
Assistance Tool
20%
Computer Science
Neural Network
100%
Machine Learning Model
100%
Use Case
16%
Model Accuracy
16%
e-learning Platforms
16%
Image Synthesis
16%
Critical Application
16%
Model Calibration
16%
Machine Learning
16%
Learning System
16%
Predicted Probability
16%