A methodology for acquiring qualitative knowledge for probabilistic graphical models

Uffe Bro Kjærulff, Anders L. Madsen

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Abstract

We present a practical and general methodology that simplifies the task of acquiring and formulating qualitative knowledge for constructing probabilistic graphical models (PGMs). The methodology efficiently captures and communicates expert knowledge, and has significantly eased the model development process for three real-world problems in the domain of robotics.
OriginalsprogEngelsk
TitelProceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Publikationsdato2004
Sider143-150
StatusUdgivet - 2004
Begivenhed10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) - Perugia, Italien
Varighed: 4 jul. 20049 jul. 2004
Konferencens nummer: 10

Konference

Konference10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)
Nummer10
Land/OmrådeItalien
ByPerugia
Periode04/07/200409/07/2004

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