Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.
Tom SercuSebastian GehrmannHendrik StrobeltPayel DasInkit PadhiCícero Nogueira dos SantosKahini WadhawanVijil ChenthamarakshanPublished in: DGS@ICLR (2019)
Keyphrases
- model selection
- visual exploration
- latent space
- gaussian process
- visualization tool
- hyperparameters
- cross validation
- gaussian processes
- regression model
- exploratory analysis
- sample size
- latent variables
- low dimensional
- visualization tools
- dimensionality reduction
- parameter space
- generative model
- high dimensional
- information visualization
- machine learning
- computer graphics
- mixture model
- matrix factorization
- probabilistic model
- feature selection
- high dimensional data
- feature extraction
- data mining