A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis.
Xiaoning SongZi LiuXibei YangJingyu YangPublished in: Comput. Math. Appl. (2013)
Keyphrases
- parameter estimation
- discriminant analysis
- em algorithm
- model selection
- least squares
- supervised learning
- maximum likelihood
- clustering method
- parameter estimation algorithm
- generalized linear
- linear discriminant analysis
- markov random field
- training data
- expectation maximization
- cross validation
- feature space
- random fields
- fisher discriminant analysis
- feature selection