| Algorithm Category | Prediction Algorithm Name | Developer |
|---|---|---|
| Statistical | ||
| Poisson (McIntosh point-in-time) | TCD | |
| Poisson (McIntosh 24-hour evolution) | TCD | |
| Linear regression | ||
| Unsupervised learning | ||
| k-means clustering | CNR | |
| Probabilistic k-means clustering | CNR | |
| TO DO | Possibilistic k-means clustering | CNR |
| Supervised learning | ||
| Discriminant analysis | ||
Multi-layer perceptron with back-propagation (point-in-time) | CNR | |
| TO DO | Multi-layer perceptron with back-propagation (time series) | CNR |
Recurrent neural network with evolutionary algorithm (point-in-time) | ||
Recurrent neural network with evolutionary algorithm (time series) | ||
| Support vector machine (point-in-time) | UNIGE | |
| Lars, Lasso, Elastic Net (point-in-time) | UNIGE | |
| TO DO | Structured sparsity for multitask learning | UNIGE |
| Time series preprocessing | ||
| TO DO | Discrete Wavelet Transform | UNIGE |
Overview
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