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.
Originalsprog | Engelsk |
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Titel | Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems |
Publikationsdato | 2004 |
Sider | 143-150 |
Status | Udgivet - 2004 |
Begivenhed | 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) - Perugia, Italien Varighed: 4 jul. 2004 → 9 jul. 2004 Konferencens nummer: 10 |
Konference
Konference | 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) |
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Nummer | 10 |
Land/Område | Italien |
By | Perugia |
Periode | 04/07/2004 → 09/07/2004 |