A predictive deviance criterion for selecting a generative model in semi-supervised classification
نویسندگان
چکیده
منابع مشابه
A predictive deviance criterion for selecting a generative model in semi-supervised classification
Semi-supervised classification can be hoped to improve generative classifiers by taking profit of the information provided by the unlabeled data points, especially when there are far more unlabeled data than labeled data. This paper is concerned with selecting a generative classification model from both unlabeled and labeled data. We propose a predictive deviance criterion AICcond aiming to sel...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2013
ISSN: 0167-9473
DOI: 10.1016/j.csda.2013.02.010