Latent Classification Models.
One of the simplest, and yet most consistently well-performing set of classifiers is the Naive Bayes models. These models rely on two assumptions: (i) All the attributes used to describe an instance are conditionally independent given the class of that instance, and (ii) all attributes follow a spec...
| 出版年: | Machine learning. 59, 3 (2005). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 主題: |