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» Simulation Optimization: Methods and Applications
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AAAI
2000
15 years 2 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
97
Voted
CVPR
2007
IEEE
16 years 3 months ago
Two thresholds are better than one
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...
Tao Zhang, Terrance E. Boult, R. C. Johnson
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 7 months ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 5 months ago
Genetic programming for agricultural purposes
Nitrogen is one of the most important chemical intakes to ensure the healthy growth of agricultural crops. However, some environmental concerns emerge (soil and water pollution) w...
Clément Chion, Luis E. Da Costa, Jacques-An...
CASES
2005
ACM
15 years 3 months ago
Segment protection for embedded systems using run-time checks
The lack of virtual memory protection is a serious source of unreliability in many embedded systems. Without the segment-level protection it provides, these systems are subject to...
Matthew Simpson, Bhuvan Middha, Rajeev Barua