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AI
1999
Springer
15 years 6 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
SKG
2006
IEEE
16 years 15 days ago
Hierarchical Multicast Tree Algorithms of Data Grid
Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multicast algorithms...
Weijia Jia, Qingfeng Fan, Qiongli Wu, Yanxiang He
FOCS
2000
IEEE
15 years 10 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
CIKM
2009
Springer
16 years 1 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 20 days ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall