XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data.
Masakazu TadokoroHiroyuki SatoKeiki TakadamaPublished in: CEC (2021)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional
- latent space
- manifold learning
- lower dimensional
- dimension reduction
- learning algorithm
- nonlinear dimensionality reduction
- original data
- data points
- nearest neighbor
- data sets
- subspace clustering
- reinforcement learning
- high dimensionality
- data analysis
- feature space
- similarity search
- sparse representation
- image classification
- image processing
- labeled data
- text classification
- linear discriminant analysis
- similarity measure
- distance measure
- gaussian processes
- machine learning
- neural network
- active learning