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» Multiagent learning using a variable learning rate
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WWW
2009
ACM
16 years 5 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
EVOW
2008
Springer
15 years 6 months ago
Improving Metaheuristic Performance by Evolving a Variable Fitness Function
In this paper we study a complex real world workforce scheduling problem. We apply constructive search and variable neighbourhood search (VNS) metaheuristics and enhance these meth...
Keshav P. Dahal, Stephen Remde, Peter I. Cowling, ...
143
Voted
BMCBI
2006
100views more  BMCBI 2006»
15 years 4 months ago
Using the nucleotide substitution rate matrix to detect horizontal gene transfer
Background: Horizontal gene transfer (HGT) has allowed bacteria to evolve many new capabilities. Because transferred genes perform many medically important functions, such as conf...
Micah Hamady, M. D. Betterton, Rob Knight
VRST
2004
ACM
15 years 10 months ago
NOYO: 6DOF elastic rate control for virtual environments
It is an interesting challenge to design input devices that are easy to learn and use and that allow a wide range of differentiated input. We have developed a novel joystick-like ...
Andreas Simon, Mario Doulis
ATAL
2010
Springer
15 years 5 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone