Learning from data with structured missingness.
Robin MitraSarah F. McGoughTapabrata ChakrabortiChris C. HolmesRyan CoppingNiels HagenbuchStefanie BiedermannJack NoonanBrieuc LehmannAditi ShenviXuan Vinh DoanDavid LeslieGinestra BianconiRubén Sánchez-GarcíaAlisha DaviesMaxine MackintoshEleni-Rosalina AndrinopoulouAnahid BasiriChris HarbronBen D. MacArthurPublished in: CoRR (2023)
Keyphrases
- data sets
- data analysis
- data quality
- prior knowledge
- data collection
- missing data
- synthetic data
- missing values
- unsupervised learning
- high quality
- learning algorithm
- learning process
- data sources
- database
- original data
- raw data
- data distribution
- background knowledge
- statistical analysis
- data structure
- data mining
- real world
- learning models
- incomplete data
- spatial data
- data processing
- online learning
- input data
- image data
- data points