Interpretable machine learning for high-dimensional trajectories of aging health.
Spencer FarrellArnold MitnitskiKenneth RockwoodAndrew RutenbergPublished in: CoRR (2021)
Keyphrases
- machine learning
- high dimensional
- low dimensional
- machine learning algorithms
- machine learning methods
- dimensionality reduction
- pattern recognition
- knowledge acquisition
- machine learning approaches
- learning systems
- computational intelligence
- computer vision
- trajectory data
- explanation based learning
- microarray data
- similarity search
- multi dimensional
- nearest neighbor
- knowledge discovery
- feature selection
- high dimensional data
- gene expression data
- reinforcement learning
- parameter space
- metric space
- health care
- computer science
- inductive logic programming
- variable selection
- data points
- data mining
- high dimensional spaces
- artificial intelligence
- decision trees
- natural language processing
- high dimensionality
- classification rules
- natural language
- learning algorithm
- active learning
- model selection
- text classification
- information extraction
- text mining