Residual variance estimation in machine learning
نویسندگان
چکیده
منابع مشابه
Residual variance estimation in machine learning
The problem of residual variance estimation consists of estimating the best possible generalization error obtainable by any model based on a finite sample of data. Even though it is a natural generalization of linear correlation, residual variance estimation in its general form has attracted relatively little attention in machine learning. both theoretically and experimentally to understand bet...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2009
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2009.07.004