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» Repeated Observation Models
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99
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CHI
2006
ACM
16 years 3 months ago
Comparisons of keystroke-level model predictions to observed data
Comparison of model prediction against observed data is an investigative step used in cognitive modeling research for human-computer interaction. In this paper we describe compari...
Leonghwee Teo, Bonnie E. John
130
Voted
DATE
2007
IEEE
133views Hardware» more  DATE 2007»
15 years 9 months ago
Stochastic modeling and optimization for robust power management in a partially observable system
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
Qinru Qiu, Ying Tan, Qing Wu
JAIR
2008
148views more  JAIR 2008»
15 years 3 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
SUM
2009
Springer
15 years 10 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
136
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 25 days ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li