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» Models for Data-Flow Sequential Processes
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IJCAI
2001
13 years 8 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
IJSNET
2007
155views more  IJSNET 2007»
13 years 7 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 2 months ago
The role of social feedback in steady-state performance of human decision making for two-alternative choice tasks
With an eye towards design of human-in-the-loop systems, we investigate human decision making in a social context for tasks that require the human to make repeated choices among fi...
Andrew Reed Stewart, Naomi Ehrich Leonard
WSC
2000
13 years 8 months ago
3D visualization of simulated construction operations
Significant advances have been made in the field of construction process modeling. However, no convenient graphical support tools exist that can depict the modeled operations in 3...
Vineet R. Kamat, Julio C. Martínez
NGITS
1997
Springer
13 years 11 months ago
Faster Joins, Self Joins and Multi-Way Joins Using Join Indices
We propose a new algorithm, called Stripe-join, for performing a join given a join index. Stripe-join is inspired by an algorithm called \Jive-join" developed by Li and Ross....
Hui Lei, Kenneth A. Ross