-
AdaBoost (short for
Adaptive Boosting) is a
statistical classification meta-algorithm
formulated by Yoav
Freund and
Robert Schapire in 1995, who won the...
- then
developed AdaBoost, an
adaptive boosting algorithm that won the
prestigious Gödel Prize. Only
algorithms that are
provable boosting algorithms in...
- demand.
AdaBoost Random forest Catboost LightGBM XGBoost Decision tree
learning Hastie, T.; Tibshirani, R.; Friedman, J. H. (2009). "10.
Boosting and Additive...
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discovered repeatedly in very
diverse fields such as
machine learning (
AdaBoost, Winnow, Hedge),
optimization (solving
linear programs),
theoretical computer...
- Logit
Boost is a
boosting algorithm formulated by
Jerome Friedman,
Trevor Hastie, and
Robert Tibshirani. The
original paper casts the
AdaBoost algorithm...
- or not. Viola–Jones is
essentially a
boosted feature learning algorithm,
trained by
running a
modified AdaBoost algorithm on Haar
feature classifiers...
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CoBoosting accomplishes this feat by
borrowing concepts from
AdaBoost. In both
CoTrain and Co
Boost the
training and
testing example sets must
follow two properties...
- García, N. (2012). "adabag: An R
package for
classification with
AdaBoost.M1,
AdaBoost-SAMME and Bagging". {{cite journal}}: Cite
journal requires |journal=...
-
produce a
strong learner. It has been shown, for
several boosting algorithms (including
AdaBoost), that
regularization via
early stopping can
provide guarantees...
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emphasize the
training instances previously mis-modeled. A
typical example is
AdaBoost.
These can be used for regression-type and classification-type problems...
