Table 3.

Prediction Methods: This table summarizes several feature processing techniques, including feature modeling, detection and classification reported in a number of recent publications.

Method	Reference
Support Vector Machines	76,80,82,86,95,102,105,111
K-Nearest Neighbors (KNN)	76,80,87,95
Thresholding	75,76,79,80,90
Bayesian Classification	76,80,104,106
Linear Discriminant Analysis (LDA), Fisher Linear Discriminant (FLD), Mahalanobis Linear Distance (MLD)	76,80,82,84,87,92,95,102–105,109,115
Quadratic Discriminant Analysis (QDA)	82,84
Hidden Markov Model (HMM)	76,80
Linear/Non-linear Continuous Transformation	76,80
Classifier Adaptation	91
Gaussian Process	110
Decision Tree	81,97
Gaussian Mixture Model	78,84
Genetic Algorithm	88,102
Logistic Regression Linear Classifier	114
Neural Network	82,92
Common Spatial Patterns (CSP), Multiple-class CSP	84,106,113
Filter Bank Common Spatial Patterns (FBCSP)	84
Iterative Spatio-Spectral Patterns Learning (ISSPL)	108
Fuzzy Inference	131