No Free Lunch for Noise Prediction
نویسندگان
چکیده
منابع مشابه
No Free Lunch for Noise Prediction
No-free-lunch theorems have shown that learning algorithms cannot be universally good. We show that no free funch exists for noise prediction as well. We show that when the noise is additive and the prior over target functions is uniform, a prior on the noise distribution cannot be updated, in the Bayesian sense, from any finite data set. We emphasize the importance of a prior over the target f...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2000
ISSN: 0899-7667,1530-888X
DOI: 10.1162/089976600300015709