Reducing training requirements through evolutionary based dimension reduction and subject transfer.
Adham AtyabiMartin H. LuerssenSean P. FitzgibbonTrent W. LewisDavid M. W. PowersPublished in: CoRR (2016)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- data mining and machine learning
- high dimensional
- partial least squares
- high dimensional problems
- linear discriminant analysis
- random projections
- low dimensional
- feature space
- variable selection
- unsupervised learning
- feature selection
- high dimensional data
- high dimensionality
- manifold learning
- neural network
- evolutionary computation
- supervised learning
- cluster analysis
- singular value decomposition
- training samples
- high dimensional data analysis
- discriminative information
- dimension reduction methods
- learning algorithm
- dimensionality reduction
- training set
- preprocessing
- sparse metric learning