Algorithm Category | Prediction Algorithm Name | Developer | Status |
---|---|---|---|
Statistical | (To do / In progress / Under testing / Delivered) | ||
Poisson (McIntosh point-in-time) | TCD | Under testing | |
Poisson (McIntosh 24-hour evolution) | TCD | In progress | |
Linear Probit regression | AA | Under testing | |
Probit Logit regression | AA | Under testing | |
Logit Linear regression | AA | Under testing | |
Bayesian binary quantile regression with lasso | AA | Under testing | |
Unsupervised learning | |||
k-means clustering | CNR | TestingUnder testing | |
Probabilistic k-means (Fuzzy C-means) clustering | CNRTesting | Under testing | |
Possibilistic k-means clustering | CNR | In progress | |
Supervised learning | |||
Discriminant analysis | AA | In progress | |
Multi-layer perceptron with back-propagation (point-in-time) | AA | Under testing | |
Multi-layer perceptron with back-propagation (time series) | AA | To doUnder testing | |
Radial basis function networks (point-in-time) | AA | To do | |
Radial basis function networks (time series) | AA | To do | |
Recurrent neural network with evolutionary algorithm (point-in-time) | AA | To do | |
Recurrent neural network with evolutionary algorithm (time series) | AA | In progress | |
Support vector machine (point-in-time) | UNIGE | In progress | |
Support vector machine (time series) | UNIGE | In progress | |
Lars, Lasso, Elastic Net (point-in-time) | UNIGETesting | Under testing | |
Structured sparsity for multitask learning | UNIGE | To do | |
Time series preprocessing | |||
Discrete Wavelet Transform | UNIGE | To do | |
Principal Component Analysis | CNR | Delivered |