Temporal Matching under Uncertainty

Ahmed Y. Tawfik, Greg Scott
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:293-297, 2001.

Abstract

Temporal matching is the problem of matching observations to predefined temporal patterns or templates. This problem arises in many applications including medical and model-based diagnosis, plan-recognition, and temporal databases. This work examines the sources of uncertainty in temporal matching and presents a probabilistic technique to perform temporal matching under uncertainty. This technique is then applied to the problem of finding the onset of infection with \emph{Toxoplasma Gondii}.

Cite this Paper

BibTeX
@InProceedings{pmlr-vR3-tawfik01a, title = {Temporal Matching under Uncertainty}, author = {Tawfik, Ahmed Y. and Scott, Greg}, booktitle = {Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics}, pages = {293--297}, year = {2001}, editor = {Richardson, Thomas S. and Jaakkola, Tommi S.}, volume = {R3}, series = {Proceedings of Machine Learning Research}, month = {04--07 Jan}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/r3/tawfik01a/tawfik01a.pdf}, url = {https://proceedings.mlr.press/r3/tawfik01a.html}, abstract = {Temporal matching is the problem of matching observations to predefined temporal patterns or templates. This problem arises in many applications including medical and model-based diagnosis, plan-recognition, and temporal databases. This work examines the sources of uncertainty in temporal matching and presents a probabilistic technique to perform temporal matching under uncertainty. This technique is then applied to the problem of finding the onset of infection with \emph{Toxoplasma Gondii}.}, note = {Reissued by PMLR on 31 March 2021.} }
Endnote
%0 Conference Paper %T Temporal Matching under Uncertainty %A Ahmed Y. Tawfik %A Greg Scott %B Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics %C Proceedings of Machine Learning Research %D 2001 %E Thomas S. Richardson %E Tommi S. Jaakkola %F pmlr-vR3-tawfik01a %I PMLR %P 293--297 %U https://proceedings.mlr.press/r3/tawfik01a.html %V R3 %X Temporal matching is the problem of matching observations to predefined temporal patterns or templates. This problem arises in many applications including medical and model-based diagnosis, plan-recognition, and temporal databases. This work examines the sources of uncertainty in temporal matching and presents a probabilistic technique to perform temporal matching under uncertainty. This technique is then applied to the problem of finding the onset of infection with \emph{Toxoplasma Gondii}. %Z Reissued by PMLR on 31 March 2021.
APA
Tawfik, A.Y. & Scott, G.. (2001). Temporal Matching under Uncertainty. Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research R3:293-297 Available from https://proceedings.mlr.press/r3/tawfik01a.html. Reissued by PMLR on 31 March 2021.

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