Learning types | Data processing tasks | Distinction norm | Learning algorithms | Representative references |
---|---|---|---|---|

Supervised learning | Classification/Regression/Estimation | Computational classifiers | Support vector machine | [120] |

Statistical classifiers | Naïve Bayes | [15] | ||

Hidden Markov model | [121] | |||

Bayesian networks | [122] | |||

Connectionist classifiers | Neural networks | [123] | ||

Unsupervised learning | Clustering/Prediction | Parametric | K-means | [124] |

Gaussian mixture model | [125] | |||

Nonparametric | Dirichlet process mixture model | [125] | ||

X-means | [124] | |||

Reinforcement learning | Decision-making | Model-free | Q-learning | [126] |

R-learning | [127] | |||

Model-based | TD learning | [128] | ||

Sarsa learning | [129] |