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TSMC
2008
132views more  TSMC 2008»
13 years 7 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
A Truthful Randomized Mechanism for Combinatorial Public Projects via Convex Optimization
In Combinatorial Public Projects, there is a set of projects that may be undertaken, and a set of selfinterested players with a stake in the set of projects chosen. A public plann...
Shaddin Dughmi
CEC
2011
IEEE
12 years 7 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...
CHI
2008
ACM
14 years 8 months ago
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Electronic Health Records (EHRs) and other temporal databases contain hidden patterns that reveal important cause-and-effect phenomena. Finding these patterns is a challenge when ...
Taowei David Wang, Catherine Plaisant, Alexander J...
VLDB
2006
ACM
115views Database» more  VLDB 2006»
14 years 7 months ago
Integrating document and data retrieval based on XML
For querying structured and semistructured data, data retrieval and document retrieval are two valuable and complementary techniques that have not yet been fully integrated. In thi...
Jan-Marco Bremer, Michael Gertz