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AAAI
2007
13 years 10 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
CEC
2007
IEEE
14 years 2 months ago
Target shape design optimization by evolving splines
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Th...
COLT
2010
Springer
13 years 5 months ago
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
Junya Honda, Akimichi Takemura
FS
2006
81views more  FS 2006»
13 years 7 months ago
Utility maximization and risk minimization in life and pension insurance
We study the problem of finding optimal strategies for a life insurance company or pension fund that acts on behalf of an insured so as to maximize the expected utility (in a gene...
Peter Holm Nielsen
VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
Jie Tao, Wolfgang Karl