方法证据记录
Naive Bayes
Naive Bayes is a fast probabilistic classifier that applies Bayes' theorem while assuming that the features are conditionally independent given the class — a method given its standard machine-learning treatment in Tom Mitchell's 1997 textbook Machine Learning. Despite this simplifying ('naive') assumption, it is quick to train and often surprisingly accurate.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Naive Bayes Classifier
分类方法记录 · ml-model / machine-learning
- Mitchell, T. M. (1997). Machine Learning. McGraw-Hill. · ISBN 978-0070428072
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