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Evaluation of machine learning tools as a statistical downscaling tool : temperatures projections for multi-stations for Thames River Basin, Canada

Many impact studies require climate change information at a finer resolution than that provided by global climate models (GCMs). This paper investigates the performances of existing state-of-the-art rule induction and tree algorithms, namely single conjunctive rule learner, decision table, M5 model...

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Main Authors: Burn, Donald H., Ojha, C. S. P., Goyal, Manish Kumar
其他作者: School of Civil and Environmental Engineering
格式: Article
語言:English
出版: 2013
在線閱讀:https://hdl.handle.net/10356/97526
http://hdl.handle.net/10220/11866
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