Explaining AdaBoost
By Robert E. Schapire. Empirical Inference, 2013
1,143 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/e2682f2a2752cba7a05fd3db1cb43731c1afb002
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In Artificial Intelligence
- Rodrigo Benenson
- Steven Bethard
- Vasileios Iosifidis
- Vikas Yadav
- Markus Mathias
- David Mease
- Vitaly Feldman
- M. Ahsan
Citations in the corpus
- Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers (2020, methodology): “Train a weak learner using distribution D t [48].”
- AdaFair: Cumulative Fairness Adaptive Boosting (2019, positive): “Comparing to accuracy and balanced accuracy that rely only on correctly and incorrectly classications, the margins also reveal information about how condent are the predictions of the dierent methods [30].”
- Face Detection without Bells and Whistles (2014, background): “Since Adaboost lacks a well understood regularization mechanism [24], depending on the training data, adding more weak classifiers could lead to over-fitting.”
- Machine-Learning-Based Disease Diagnosis: A Comprehensive Review (2021, methodology): “It may be used for categorization as well as regression analysis [20].”
- A Survey on Recent Advances in Named Entity Recognition from Deep Learning models (2018, methodology): “The winner of CoNLL 2002 (Carreras et al., 2002) used binary AdaBoost classifiers, a boosting algo-rithm that combines small fixed-depth decision trees (Schapire, 2013).”
- Does learning require memorization? a short tale about a long tail (2019, background): “[14] and Adaboost [27] are known to achieve their optimal generalization error on many learning problems while fitting the training data perfectly [44, 45, 52].”
- Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers (2015, background): “While some research has cast doubt on the ability of any one of these to fully account for the performance of AdaBoost they are generally understood to be satisfactory (Schapire, 2013).”