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- W2008519116 abstract "Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept for preventing overfitting by automatically recognizing when it starts to occur. This paper presents a simple scheme for implementing canary functions using cross-validation. The effectiveness of this technique is demonstrated by applying it to the numeric regression problem. A list of conditions and criteria for applying this technique to other problem domains is also identified. Other strategies for dealing with overfitting in GP are discussed." @default.
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- W2008519116 date "2005-06-25" @default.
- W2008519116 modified "2023-10-16" @default.
- W2008519116 title "Preventing overfitting in GP with canary functions" @default.
- W2008519116 cites W2016043834 @default.
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- W2008519116 doi "https://doi.org/10.1145/1068009.1068307" @default.
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