Constructing a Novel Chinese Readability Classification Model Using Principal Component Analysis and Genetic Programming.
Yi-Shian LeeHou-Chiang TsengJu-Ling ChenChun-Yi PengTao-Hsing ChangYao-Ting SungPublished in: ICALT (2012)
Keyphrases
- genetic programming
- principal component analysis
- fitness function
- evolutionary computation
- independent component analysis
- dimensionality reduction
- evolutionary algorithm
- covariance matrix
- principal components
- symbolic regression
- gene expression programming
- financial forecasting
- regression problems
- face recognition
- face images
- linear discriminant analysis
- discriminant analysis
- grammar guided genetic programming
- listed companies
- chinese language
- lower dimensional
- neural classifier
- dimension reduction
- feature extraction
- computer vision
- information retrieval
- chinese characters
- singular value decomposition
- genetic algorithm ga
- low dimensional
- dependency parser
- data points
- keyword extraction
- feature space
- evolutionary approaches
- dimension reduction methods
- neural network