Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models.
Qiong WuJian LiZhenming LiuYanhua LiMihai CucuringuPublished in: CoRR (2022)
Keyphrases
- machine learning models
- latent space
- high dimensional
- gaussian process latent variable models
- low dimensional
- lower dimensional
- dimensionality reduction
- parameter space
- spam filtering
- machine learning approaches
- machine learning algorithms
- manifold learning
- latent variables
- feature space
- high dimensional spaces
- high dimensional data
- machine learning
- gaussian process
- higher dimensional
- generative model
- high dimensionality
- probabilistic latent semantic analysis
- data points
- transfer learning
- dimension reduction
- nearest neighbor
- learning models
- predictive model
- distance metric
- gaussian processes
- data sets
- similarity search
- matrix factorization
- machine learning methods
- microarray
- euclidean distance
- kernel function
- information extraction
- information retrieval
- data mining