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11/17/2022
Active Learning with Expected Error Reduction
Active learning has been studied extensively as a method for efficient d...
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04/13/2013
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)
This is the Proceedings of the Sixteenth Conference on Uncertainty in Ar...
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03/27/2013
Deciding Consistency of Databases Containing Defeasible and Strict Information
We propose a norm of consistency for a mixed set of defeasible and stric...
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03/13/2013
Reasoning With Qualitative Probabilities Can Be Tractable
We recently described a formalism for reasoning with if-then rules that ...
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02/27/2013
On the Relation between Kappa Calculus and Probabilistic Reasoning
We study the connection between kappa calculus and probabilistic reasoni...
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02/27/2013
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty
This work proposes action networks as a semantically well-founded framew...
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02/13/2013
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learn...
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02/13/2013
Context-Specific Independence in Bayesian Networks
Bayesian networks provide a language for qualitatively representing the ...
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02/06/2013
Sequential Update of Bayesian Network Structure
There is an obvious need for improving the performance and accuracy of a...
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01/23/2013
Data Analysis with Bayesian Networks: A Bootstrap Approach
In recent years there has been significant progress in algorithms and me...
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01/23/2013
Continuous Value Function Approximation for Sequential Bidding Policies
Market-based mechanisms such as auctions are being studied as an appropr...
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06/13/2012