Some machine learning schemes for high-dimensional nonlinear PDEs.
Côme HuréHuyên PhamXavier WarinPublished in: CoRR (2019)
Keyphrases
- kernel function
- high dimensional
- high dimensional feature space
- machine learning
- kernel methods
- kernel principal component analysis
- support vector machine
- feature space
- partial differential equations
- low dimensional
- high dimension
- similarity search
- pattern recognition
- feature selection
- nonlinear diffusion
- high dimensional data
- nearest neighbor
- numerical solution
- dimensionality reduction
- learning algorithm
- learning tasks
- knowledge acquisition
- diffusion equation
- machine learning algorithms
- machine learning methods
- data points
- numerical scheme
- high dimensionality
- operator splitting
- numerical algorithms
- multi dimensional
- natural language processing
- image denoising
- nonlinear diffusion filtering
- parameter space
- anisotropic diffusion
- supervised learning
- information extraction
- artificial intelligence
- computer science
- image processing
- active learning
- data sets
- difference equations
- data mining
- fourth order
- discrete data
- data analysis
- gene expression data
- text classification
- model selection
- high order