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» Algorithmic Randomness of Closed Sets
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122
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CEC
2009
IEEE
15 years 10 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...
148
Voted
WADS
2009
Springer
223views Algorithms» more  WADS 2009»
15 years 10 months ago
Fault Tolerant External Memory Algorithms
Abstract. Algorithms dealing with massive data sets are usually designed for I/O-efficiency, often captured by the I/O model by Aggarwal and Vitter. Another aspect of dealing with ...
Gerth Stølting Brodal, Allan Grønlun...
130
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FOCS
2000
IEEE
15 years 7 months ago
Efficient Algorithms for Universal Portfolios
A constant rebalanced portfolio is an investment strategy that keeps the same distribution of wealth among a set of stocks from day to day. There has been much work on Cover'...
Adam Kalai, Santosh Vempala
MASCOTS
2001
15 years 5 months ago
Large-Scale Simulation of Replica Placement Algorithms for a Serverless Distributed File System
Farsite is a scalable, distributed file system that logically functions as a centralized file server but that is physically implemented on a set of client desktop computers. Farsi...
John R. Douceur, Roger Wattenhofer
TOMACS
2010
79views more  TOMACS 2010»
14 years 10 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu