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Found 4 papers, 1 papers with code
Active Learning with Expected Error Reduction
In this paper we reformulate EER under the lens of Bayesian active learning and derive a computationally efficient version that can use any Bayesian parameter sampling method (such as arXiv:1506. 02142).
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)
This is the Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, which was held in San Francisco, CA, June 30 - July 3, 2000
Deciding Consistency of Databases Containing Defeasible and Strict Information
We propose a norm of consistency for a mixed set of defeasible and strict sentences, based on a probabilistic semantics.
Context-Specific Independence in Bayesian Networks
Bayesian networks provide a language for qualitatively representing the conditional independence properties of a distribution.
