Ensemble Machine Learning Techniques Overview DCrcoh7cMHU

Web Reference: Nematus 的论文里面说： Nematus provides support for applying single models, as well as using multiple models in an ensemble – the latter is possible even if the model architectures differ, as long as the output vocabulary is the same. 目前，有三种常见的集成学习框架：bagging，boosting和stacking。 国内，南京大学的周志华教授对集成学习有很深入的研究，其在09年发表的一篇概述性论文 《Ensemble Learning》 对这三种集成学习框架有了明确的定义，概括如下： : * 'dna' - unmasked genomic DNA sequences. * 'dna_rm' - masked genomic DNA. Interspersed repeats and low complexity regions are detected with the RepeatMasker tool and masked by replacing repeats with 'N's. 使用 RepeatMasker 工具检测散布的重复和低复杂性区域，并通过用“N”替换重复来掩盖。 * 'dna_sm' - soft-masked genomic DNA. All repeats and low ...

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