Paper
ADABOOST AND LEARNING ALGORITHMS : AN INTRODUCTION
Published 2004 · Laurent Charlin
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Abstract
This article will give a general overview of boosting and in particular AdaBoost. AdaBoost is the most popular boosting algorithm. It has been shown to have very interesting properties such as low generalization error as well as an exponentially decreasing bound on the training error. The article will also give a short introduction to learning algorithms.
Study Snapshot
AdaBoost is a popular boosting algorithm with low generalization error and exponentially decreasing training error bound, making it a promising learning algorithm.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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