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Performance of Machine Learning Models in Predicting Outcomes After ACDF: A Systematic Review and Meta-Analysis of 443 000 Patients. [PDF]
Global Spine JP Mitre L +5 more
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Development and External Validation of Machine Learning Model to Predict Live Birth Following Assisted Reproductive Technology in Women with Ovarian Endometriomas: A Decision-Support Tool. [PDF]
Clin EpidemiolSun Y, Wang Z, Zhou J, Cui L, Wang H.
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A gradient boosting machine model for predicting prognosis in patients with acute respiratory distress syndrome. [PDF]
Am J Transl ResLiang Y +5 more
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Developmental neuroscience: Boosting inhibition boosts learning
Current Biology, 2023Compared to adults, children learn differently and more efficiently. A new study shows that in children a rapid boost of inhibition evoked during learning leads to better stabilization of learned items due to reduced retrograde interference.
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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.
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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
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
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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