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Statements

Subject Item
dbr:Strong_and_weak_sampling
rdfs:label
強抽樣與弱抽樣 Strong and weak sampling
rdfs:comment
Strong and weak sampling are two sampling approach in Statistics, and are popular in computational cognitive science and language learning. In strong sampling, it is assumed that the data are intentionally generated as positive examples of a concept, while in weak sampling, it is assumed that the data are generated without any restrictions. 強抽樣與弱抽樣（英語：Strong and weak sampling）是统计学中的两种抽样方法，在中很受欢迎。在强抽样中，假设数据是作为一个概念的正例有意生成的，而在弱抽样中，假设数据的生成没有任何限制。
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dbc:Sampling_(statistics)
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強抽樣與弱抽樣（英語：Strong and weak sampling）是统计学中的两种抽样方法，在中很受欢迎。在强抽样中，假设数据是作为一个概念的正例有意生成的，而在弱抽样中，假设数据的生成没有任何限制。 Strong and weak sampling are two sampling approach in Statistics, and are popular in computational cognitive science and language learning. In strong sampling, it is assumed that the data are intentionally generated as positive examples of a concept, while in weak sampling, it is assumed that the data are generated without any restrictions.
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