0000000000533216

AUTHOR

Yun Wu

showing 2 related works from this author

Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study (Intensive…

2021

The original version of this article unfortunately contained a mistake. The members of the ESICM Trials Group Collaborators were not shown in the article but only in the ESM. The full list of collaborators is shown below. The original article has been corrected.

pressure ulcerintensive care
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A Cooperative Coevolution Framework for Parallel Learning to Rank

2015

We propose CCRank, the first parallel framework for learning to rank based on evolutionary algorithms (EA), aiming to significantly improve learning efficiency while maintaining accuracy. CCRank is based on cooperative coevolution (CC), a divide-and-conquer framework that has demonstrated high promise in function optimization for problems with large search space and complex structures. Moreover, CC naturally allows parallelization of sub-solutions to the decomposed sub-problems, which can substantially boost learning efficiency. With CCRank, we investigate parallel CC in the context of learning to rank. We implement CCRank with three EA-based learning to rank algorithms for demonstration. E…

ta113Cooperative coevolutionTheoretical computer scienceLearning to RankComputer sciencebusiness.industryRank (computer programming)Genetic ProgrammingEvolutionary algorithmContext (language use)Genetic programmingImmune ProgrammingMachine learningcomputer.software_genreEvolutionary computationComputer Science ApplicationsComputational Theory and MathematicsCooperative CoevolutionInformation RetrievalBenchmark (computing)Learning to rankArtificial intelligencebusinesscomputerInformation SystemsIEEE Transactions on Knowledge and Data Engineering
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