Semi-Supervised Learning
Semi-Supervised Learning
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DOI：
10.1007/978-981-15-1967-3_13
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发表时间：
2021
期刊：
影响因子：
7.5
通讯作者：
Zhi-Hua Zhou
中科院分区：
文献类型：
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作者：
Zhi-Hua Zhou
收获季节我们来到了西瓜田，地上长满了很多西瓜。瓜农捧了一把瓜，说都是熟瓜了，又指着地里的几个瓜说，这些瓜还没熟，还要几天才能长大。根据这些信息，我们可以建立一个模型来确定田间哪些瓜已经成熟可以采摘了吗？当然，我们可以使用农民告诉的成熟和未成熟的西瓜作为正样本和负样本来训练分类器。然而，只用少数几个瓜作为训练样本，是不是太少了呢？我们可以使用田间所有的西瓜吗？
We come to the watermelon field during the harvest season, and the ground is covered with many watermelons. The melon farmer brings a handful of melons and says that they are all ripe melons, and then points at a few melons in the ground and says that these are not ripe, and they would take a few more days to grow up. Based on this information, can we build a model to determine which melons in the field are ripe for picking? For sure, we can use the ripe and unripe watermelons told by the farmers as positive and negative samples to train a classifier. However, is it too few to use only a handful of melons as training samples? Can we use all the watermelons in the field as well?