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19942023
most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations · 1.4k across the 37 of their papers we have counts for

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Showing cs.AIShow all

6 papers · 1 filter

cs.AI2018★ 3 cited

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing

Yuan Jin, Mark Carman, Ye Zhu +1

The questions in a crowdsourcing task typically exhibit varying degrees of difficulty and subjectivity. Their joint effects give rise to the variation in responses to the same ques…

cs.AI2013★ 7 cited

Decision Tree Induction Systems: A Bayesian Analysis

Wray L. Buntine

Decision tree induction systems are being used for knowledge acquisition in noisy domains. This paper develops a subjective Bayesian interpretation of the task tackled by these sys…

cs.AI2013★ 9 cited

Theory Refinement on Bayesian Networks

Wray L. Buntine

Theory refinement is the task of updating a domain theory in the light of new cases, to be done automatically or with some expert assistance. The problem of theory refinement under…

cs.AI2013

Some Properties of Plausible Reasoning

Wray L. Buntine

This paper presents a plausible reasoning system to illustrate some broad issues in knowledge representation: dualities between different reasoning forms, the difficulty of unifyin…

cs.AI2013★ 50 cited

Chain Graphs for Learning

Wray L. Buntine

Chain graphs combine directed and undirected graphs and their underlying mathematics combines properties of the two. This paper gives a simplified definition of chain graphs based…

cs.AI1994★ 6 cited

Operations for Learning with Graphical Models

W. L. Buntine

This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, d…