作者
Mark A Pitt, In Jae Myung
发表日期
2002/10/1
来源
Trends in cognitive sciences
卷号
6
期号
10
页码范围
421-425
出版商
Elsevier
简介
How should we select among computational models of cognition? Although it is commonplace to measure how well each model fits the data, this is insufficient. Good fits can be misleading because they can result from properties of the model that have nothing to do with it being a close approximation to the cognitive process of interest (e.g. overfitting). Selection methods are introduced that factor in these properties when measuring fit. Their success in outperforming standard goodness-of-fit measures stems from a focus on measuring the generalizability of a model's data-fitting abilities, which should be the goal of model selection.
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学术搜索中的文章
MA Pitt, IJ Myung - Trends in cognitive sciences, 2002