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Displaying 1-4 out of 4 total
Sensitivity Analysis of POMDP Value Functions
Found in: Machine Learning and Applications, Fourth International Conference on
By Stephane Ross, Masoumeh Izadi, Mark Mercer, David Buckeridge
Issue Date:December 2009
pp. 317-323
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. These data are often used to build models that explain relationships between the...
AI for Global Disease Surveillance
Found in: IEEE Intelligent Systems
By Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh Izadi, Aman Verma, Anya Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang
Issue Date:November 2009
pp. 66-82
<p>In this time of increasing concern over the deadly and costly threats of infectious diseases, preparation for, early detection of, and timely response to emerging infectious diseases and epidemic outbreaks are key public-health priorities and are ...
Prediction-Directed Compression of POMDPs
Found in: Machine Learning and Applications, Fourth International Conference on
By Abdeslam Boularias, Masoumeh Izadi, Brahim Chaib-draa
Issue Date:December 2008
pp. 99-105
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. Previous studies have demonstrated that the dimensionality of a POMDP can eve...
A knowledge-based architecture for integrating and interpreting population health data
Found in: Proceedings of the 13th Annual International Conference on Digital Government Research (dg.o '12)
By Arash Shaban-Nejad, David L. Buckeridge, Laurette Dube, Luke Mondor, Masoumeh Izadi, Yu Ma
Issue Date:June 2012
pp. 285-286
In this paper, we describe our ongoing effort on the design and development of a knowledge-based system for monitoring and analyzing evidence-based population health indicators, with focus on indicators of chronic diseases related to obesity. The knowledge...