Quantifying Bias and Uncertainty in Historical Data Collections with Probabilistic Programming.
Leo LahtiEetu MäkeläMikko TolonenPublished in: CHR (2020)
Keyphrases
- data collections
- uncertain data
- semi structured
- data collection
- probability theory
- document collections
- conditional probabilities
- data sets
- probabilistic model
- programming language
- handling uncertainty
- decision theory
- probability measures
- ranked retrieval
- probabilistic logic
- data sources
- programming environment
- belief functions
- historical data
- object oriented programming
- inference process
- digital data
- measurement error
- information retrieval systems