In machine learning, bootstrapping is a general technique that iteratively trains and evaluates a classifier in order to improve its performance. In object detection, it is often used in conjunction with AdaBoost algorithm for efficient processing of large databases. Refer to Bootstrap aggregating.
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- In machine learning, bootstrapping is a general technique that iteratively trains and evaluates a classifier in order to improve its performance. In object detection, it is often used in conjunction with AdaBoost algorithm for efficient processing of large databases. Refer to Bootstrap aggregating.
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- Talk:Bootstrapping (statistics) Merger proposal
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- In machine learning, bootstrapping is a general technique that iteratively trains and evaluates a classifier in order to improve its performance. In object detection, it is often used in conjunction with AdaBoost algorithm for efficient processing of large databases. Refer to Bootstrap aggregating.
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- Bootstrapping (machine learning)
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