Table 3 Machine learning studies
Reference | ML method | Training and test data set source | Training data set size | Test data set size | Method |
|---|---|---|---|---|---|
Bramsen et al. [3] | AdaBoost | M | 60 | CV | ML |
Haug et al. [17] | Bayesian Network | M | 3483 | CV | ML |
Conditional Random Fields | M, RB, CO | 790 | 514 | H | |
Deléger and Névéol [8] | Conditional Random Fields | M | 100 | 600 | ML |
Ni et al. [40] | Conditional Random Fields and Maximum Entropy Classifier | M, AL | NS | NS | H |
Jancsary et al. [20] | Conditional Random Fields and Viterbi | M, RB | 2340 | 1003 | H |
Cho et al. [6] | Expectation Maximization Classifier | M, RB | NS | NS | H |
Li et al. [29] | Hidden Markov Model and Viterbi | M, RB | 7549 | 2130 | ML |
Lohr et al. [31] | Logistic Regression | M | 1106 | CV | ML |
Ganesan and Subotin [16] | Logistic Regression and Viterbi | M, RB | 1800 | 12502 | H |
Tepper et al. [57] | Maximum Entropy Classifier | M, CO | 1365 | 374 | ML |
Sadoughi et al. [46] | Neural Network | M, RB | 25842 | 2000 | H |
Apostolova et al. [1] | Support Vector Machine | M, RB | 3000 | 200 | H |
Mowery et al. [39] | Support Vector Machine | M | 50 | CV | ML |
Waranusast et al. [62] | Support Vector Machine and KNN | M | 10694 | CV | ML |