| Information | |
|---|---|
| has gloss | eng: Relevance vector machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and classification. The RVM has an identical functional form to the support vector machine, but provides probabilistic classification. |
| lexicalization | eng: Relevance Vector Machine |
| instance of | c/Classification algorithms |
| Meaning | |
|---|---|
| Chinese | |
| has gloss | zho: 相关向量机(Relevance vector machine,RVM)是使用贝叶斯推理得到回归和分类的简约解的机器学习技术。RVM的函数形式与支持向量机相同,但是可以提供概率分类。 |
| lexicalization | zho: 相关向量机 |
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