Comparison of Approximate Methods for Handling Hyperparameters
نویسندگان
چکیده
منابع مشابه
Comparison of Approximate Methods for Handling Hyperparameters
I examine two approximate methods for computational implementation of Bayesian hierarchical models , that is, models which include unknown hyperparameters such as regularization constants and noise levels. In thèevidence framework' the model parameters are integrated over, and the resulting evidence is maximized over the hyperparameters. The optimized hyperparameters are used to deene a Gaussia...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1999
ISSN: 0899-7667,1530-888X
DOI: 10.1162/089976699300016331