Table 1 Comparison of machine learning technologies
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] |