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Boosting Boosting

2017
Machine learning is becoming prevalent in all aspects of our lives. For some applications, there is a need for simple but accurate white-box systems that are able to train efficiently and with little data. "Boosting" is an intuitive method, combining many simple (possibly inaccurate) predictors to form a powerful, accurate classifier.
openaire   +1 more source

Boosting Selective Nitrate Electroreduction to Ammonium by Constructing Oxygen Vacancies in TiO2

, 2020
Electrocatalytic nitrate reduction into recyclable ammonium under benign conditions is significant.
Ranran Jia   +5 more
semanticscholar   +1 more source

Boosting

WIREs Computational Statistics, 2009
AbstractIn this contribution, we review boosting, one of the most effective machine learning methods for classification and regression. Most of the article takes the gradient descent point of view, even though we do include the margin point of view as well.
Peter Bühlmann, Bin Yu
openaire   +2 more sources

Molecular Motion in Aggregates: Manipulating TICT for Boosting Photothermal Theranostics.

Journal of the American Chemical Society, 2019
Planar donor and acceptor (D-A) conjugated structures are generally believed to be the standard for architecting highly efficient photothermal theranostic agents, in order to restrict intramolecular motions in aggregates (nanoparticles).
Shunjie Liu   +8 more
semanticscholar   +1 more source

Boosting

American Journal of Orthodontics and Dentofacial Orthopedics
Thijs Becker   +4 more
  +5 more sources

Volcanic Boost

Scientific American, 2022
openaire   +2 more sources

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction and Building Materials, 2020
D. Feng   +6 more
semanticscholar   +1 more source

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