A methodology for acquiring qualitative knowledge for probabilistic graphical models

Uffe Bro Kjærulff; Anders L. Madsen

A methodology for acquiring qualitative knowledge for probabilistic graphical models

Uffe Bro Kjærulff, Anders L. Madsen

Department of Computer Science

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research

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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.

Original language	English
Title of host publication	Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Publication date	2004
Pages	143-150
Publication status	Published - 2004
Event	10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) - Perugia, Italy Duration: 4 Jul 2004 → 9 Jul 2004 Conference number: 10

Conference

Conference	10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)
Number	10
Country/Territory	Italy
City	Perugia
Period	04/07/2004 → 09/07/2004

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title = "A methodology for acquiring qualitative knowledge for probabilistic graphical models",

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.",

author = "Kj{\ae}rulff, {Uffe Bro} and Madsen, {Anders L.}",

year = "2004",

language = "English",

pages = "143--150",

booktitle = "Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems",

note = "10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) ; Conference date: 04-07-2004 Through 09-07-2004",

}

Kjærulff, UB & Madsen, AL 2004, A methodology for acquiring qualitative knowledge for probabilistic graphical models. in Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. pp. 143-150, 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Perugia, Italy, 04/07/2004.

A methodology for acquiring qualitative knowledge for probabilistic graphical models. / Kjærulff, Uffe Bro; Madsen, Anders L.
Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. 2004. p. 143-150.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research

TY - GEN

T1 - A methodology for acquiring qualitative knowledge for probabilistic graphical models

AU - Kjærulff, Uffe Bro

AU - Madsen, Anders L.

N1 - Conference code: 10

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

M3 - Article in proceeding

SP - 143

EP - 150

BT - Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

T2 - 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)

Y2 - 4 July 2004 through 9 July 2004

ER -

A methodology for acquiring qualitative knowledge for probabilistic graphical models

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