Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.
Lucas BickmannLucas PlagwitzJulian VarghesePublished in: MIE (2023)
Keyphrases
- sample size
- deep learning
- model selection
- small sample size
- post hoc
- small sample
- small samples
- machine learning
- unsupervised learning
- pattern recognition
- restricted boltzmann machine
- upper bound
- random sample
- feature vectors
- progressive sampling
- support vector
- mental models
- feature extraction
- training set
- face recognition
- image segmentation
- unsupervised feature learning
- text classification
- worst case
- image features
- high dimensional
- association rules
- learning algorithm