556 citations · 1.2k across the 14 of their papers we have counts for
14 papers
Active Learning with Expected Error Reduction
Stephen Mussmann, Julia Reisler, Daniel Tsai +3
Active learning has been studied extensively as a method for efficient data collection. Among the many approaches in literature, Expected Error Reduction (EER) (Roy and McCallum) h…
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)
Craig Boutilier, Moises Goldszmidt
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
Moises Goldszmidt, Judea Pearl
We propose a norm of consistency for a mixed set of defeasible and strict sentences, based on a probabilistic semantics. This norm establishes a clear distinction between knowledge…
Reasoning With Qualitative Probabilities Can Be Tractable
Moises Goldszmidt, Judea Pearl
We recently described a formalism for reasoning with if-then rules that re expressed with different levels of firmness [18]. The formalism interprets these rules as extreme conditi…
On the Relation between Kappa Calculus and Probabilistic Reasoning
Adnan Darwiche, Moises Goldszmidt
We study the connection between kappa calculus and probabilistic reasoning in diagnosis applications. Specifically, we abstract a probabilistic belief network for diagnosing faults…
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty
Adnan Darwiche, Moises Goldszmidt
This work proposes action networks as a semantically well-founded framework for reasoning about actions and change under uncertainty. Action networks add two primitives to probabil…