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» Optimizing Student Models for Causality
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DSRT
2008
IEEE
13 years 9 months ago
Lightweight Time Warp - A Novel Protocol for Parallel Optimistic Simulation of Large-Scale DEVS and Cell-DEVS Models
This paper proposes a novel Lightweight Time Warp (LTW) protocol for high-performance parallel optimistic simulation of large-scale DEVS and CellDEVS models. By exploiting the cha...
Qi Liu, Gabriel A. Wainer
ET
2010
122views more  ET 2010»
13 years 5 months ago
Fault Models for Quantum Mechanical Switching Networks
This work justifies several quantum gate level fault models and discusses the causal error mechanisms thwarting correct function. A quantum adaptation of the classical test set gen...
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkows...
CLUSTER
2011
IEEE
12 years 7 months ago
Dynamic Load Balance for Optimized Message Logging in Fault Tolerant HPC Applications
—Computing systems will grow significantly larger in the near future to satisfy the needs of computational scientists in areas like climate modeling, biophysics and cosmology. S...
Esteban Meneses, Laxmikant V. Kalé, Greg Br...
IPPS
2006
IEEE
14 years 1 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 18 days ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn