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» Identifying Optimal Sequential Decisions
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AAAI
2010
13 years 11 months ago
Symbolic Dynamic Programming for First-order POMDPs
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
Scott Sanner, Kristian Kersting
CEC
2009
IEEE
14 years 4 months ago
A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
Michael S. Bittermann, Özer Ciftcioglu, I. Se...
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 11 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
WSC
2007
14 years 13 days ago
Agile optimization for coercion
Coercion combines flexible points, semi-automated optimization and expert guided manual code modification for adapting simulations to meet new requirements. Coercion can improve s...
Lingjia Tang, Paul F. Reynolds Jr.
ICCAD
2003
IEEE
120views Hardware» more  ICCAD 2003»
14 years 7 months ago
RTL Power Optimization with Gate-Level Accuracy
Traditional RTL power optimization techniques commit transformations at the RTL based on the estimation of area, delay and power. However, because of inadequate power and delay in...
Qi Wang, Sumit Roy