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aggregating

Encyclopedia

  • Bootstrap aggregating (bagging) is a machine learning ensemble meta-algorithm to improve machine learning of classification and regression models in terms of stability and classification accuracy. It also reduces variance and helps to avoid overfitting. — “Bootstrap aggregating - Wikipedia, the free encyclopedia”, en.wikipedia.org
  • [edit] News aggregation websites. Examples of this sort of website are the Drudge Report and the Huffington Post.[1] There are also websites like Google News, where aggregation is entirely automatic, using algorithms which carry out contextual analysis and group similar stories together.[2]. — “News aggregator - Wikipedia, the free encyclopedia”, en.wikipedia.org
  • A fish aggregating (or aggregation) device (FAD) is a man-made object used to attract ocean going pelagic fish such as marlin, tuna and mahi-mahi (dolphin fish). They usually consist of buoys or floats tethered to the ocean floor with concrete blocks. — “Fish aggregating device - Wikipedia, the free encyclopedia”, en.wikipedia.org

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