Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space.
Naoya YatsuHiroki ShiraishiHiroyuki SatoKeiki TakadamaPublished in: GECCO Companion (2024)
Keyphrases
- latent space
- high dimensional
- low dimensional
- dimensionality reduction
- lower dimensional
- parameter space
- low dimensional spaces
- gaussian process
- feature space
- manifold learning
- latent variables
- gaussian process latent variable models
- matrix factorization
- high dimensional data
- high dimensional spaces
- similarity search
- gaussian processes
- probabilistic latent semantic analysis
- high dimensionality
- dimension reduction
- multi dimensional
- transfer learning
- data points
- training set
- principal component analysis
- pattern recognition