1400 search results - page 65 / 280 » Post-Analysis of Learned Rules |
129
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
131
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ICMLA
2009
15 years 1 months ago
2009
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
110
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LWA
2008
15 years 5 months ago
2008
In this paper, we discuss how users and designers of existing learning management systems (LMSs) can make use of policies to enhance adaptivity and adaptability. Many widespread L...
118
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
156
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ECAI
2004
Springer
15 years 9 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...