applicable models
probabilistic
Models that provide probabilistic outputs and reasoning
2 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Monte Carlo Dropout | Algorithmic | Architecture/neural Networks Paradigm/probabilistic +4 | Any | Monte Carlo dropout estimates how uncertain a neural network is about each prediction. Dropout randomly switches off... | ||
| Prejudice Remover Regulariser | Algorithmic | Architecture/linear Models/logistic Architecture/probabilistic +4 | Tabular | The Prejudice Remover Regulariser, proposed by Kamishima and colleagues (2012), trains a classifier with an extra... |
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