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- 上节提到需要放大犯错的图片，缩小正确的图片，从而使小学生专注于其他的辨别特征，获取不一样的假设。归根结底，放缩最终的目的是使我们在新一次的假设选择中，不要选择到上一次的假设，换一句话说也就是要让上一次的假设在新一次假设选择中的效果最差（即预测错的可能性为0.5）
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Roadmap Motivation of Boosting Diversity by Re-weighting ...
上节提到需要放大犯错的图片，缩小正确的图片，从而使小学生专注于其他的辨别特征，获取不一样的假设。归根结底，放缩最终...
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上午完成了一个过期的培训，却有意外的收获。自此，更不会在意别人对我的偏见了吧…
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本文标题：Diversity of Re-weighting
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