"Why would the application of boosting prevent underfitting"

I read in some paper that applying boosting would prevent you from underfitting. Why is that?

Source: http://www.cs.cornell.edu/courses/cs4780/2015fa/web/lecturenotes/lecturenote13.html

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    $\begingroup$ Hi. In which paper did you find the term "kernalizing"? Which paper are you actually reading? $\endgroup$ – nbro Nov 14 '19 at 14:25
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    $\begingroup$ Unfortunately I don't know anymore $\endgroup$ – jennifer ruurs Nov 16 '19 at 12:18
  • $\begingroup$ haha. that happens to me as well. (Welcome to SE:AI! btw :) $\endgroup$ – DukeZhou Nov 19 '19 at 22:16
  • $\begingroup$ @nbro I added the link! $\endgroup$ – jennifer ruurs Nov 23 '19 at 8:25
  • $\begingroup$ @jenniferruurs I think it would be better if you focused on a specific topic, either kernelization or boosting, but not both. So, I suggest you edit your question to just ask "Why would the application of kernelization prevent underfitting"? Then you can ask another separate question but about boosting. I think kernelization and boosting are distinct topics. $\endgroup$ – nbro Nov 23 '19 at 18:20

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