Learning from data with structured missingness.
Robin MitraSarah F. McGoughTapabrata ChakrabortiChris C. HolmesRyan CoppingNiels HagenbuchStefanie BiedermannJack NoonanBrieuc LehmannAditi ShenviXuan Vinh DoanDavid LeslieGinestra BianconiRubén J. Sánchez-GarcíaAlisha DaviesMaxine MackintoshEleni-Rosalina AndrinopoulouAnahid BasiriChris HarbronBen D. MacArthurPublished in: Nat. Mac. Intell. (2023)
Keyphrases
- data sets
- data processing
- prior knowledge
- data collection
- database
- learning process
- synthetic data
- data quality
- training data
- background knowledge
- data analysis
- raw data
- supervised learning
- image data
- statistical analysis
- end users
- data sources
- learning systems
- experimental data
- missing data
- small number
- active learning
- data structure
- learning algorithm
- nearest neighbor
- computer systems
- knowledge discovery
- learning environment
- bayesian networks
- clustering algorithm
- missing values
- learning tasks
- feature selection
- learning models
- bayesian methods