什么是 bayesian logistic regression,是用在什么方面的?

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什么是 bayesian logistic regression,是用在什么方面的?
什么是 bayesian logistic regression,是用在什么方面的?

什么是 bayesian logistic regression,是用在什么方面的?
教育学理论

贝叶斯Logistic回归 通常翻译就是这样
是一种统计分析方法
关于这个 你了先解一下“回归分析”或“回归方法”
有线性,非线性

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications. W...

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Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications. We present a simple Bayesian logistic regression approach that uses a Laplace prior to avoid overfitting and produces sparse predictive models for text data. We apply this approach to a range of document classification problems and show that it produces compact predictive models at least as effective as those produced by support vector machine classifiers or ridge logistic regression combined with feature selection. We describe our model fitting algorithm, our open source implementations (BBR and BMR), and experimental results.

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