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AAAI
1996
15 years 7 months ago
Monitoring the Progress of Anytime Problem-Solving
Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. ...
Eric A. Hansen, Shlomo Zilberstein
CIIA
2009
15 years 7 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ISCI
2008
96views more  ISCI 2008»
15 years 6 months ago
Fuzzy age-dependent replacement policy and SPSA algorithm based-on fuzzy simulation
An increase in the performance of deteriorating systems can be achieved through the adoption of suitable maintenance policies. One of the most popular maintenance policies is the ...
Jiashun Zhang, Ruiqing Zhao, Wansheng Tang
JAIR
2008
120views more  JAIR 2008»
15 years 6 months ago
MiniMaxSAT: An Efficient Weighted Max-SAT solver
In this paper we introduce MINIMAXSAT, a new Max-SAT solver that is built on top of MINISAT+. It incorporates the best current SAT and Max-SAT techniques. It can handle hard claus...
Federico Heras, Javier Larrosa, Albert Oliveras
TCSV
2002
114views more  TCSV 2002»
15 years 5 months ago
Multicast and unicast real-time video streaming over wireless LANs
In this paper, we address the problem of real-time video streaming over wireless LANs for both unicast and multicast transmission. The wireless channel is modeled as a packet-erasu...
Abhik Majumdar, Daniel Grobe Sachs, Igor Kozintsev...