Approximation to measurable functions and its relation to probabilistic computation.
Ker-I KoPublished in: Ann. Pure Appl. Log. (1986)
Keyphrases
- bayesian networks
- quality guarantees
- exact computation
- probabilistic model
- continuous functions
- information retrieval
- information theoretic
- convex functions
- efficient computation
- database
- approximation algorithms
- error bounds
- data driven
- probability theory
- probabilistic logic
- approximation error
- efficiently computing
- case study
- probability functions
- machine learning