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AdaBoost (short for
Adaptive Boosting) is a
statistical classification meta-algorithm
formulated by Yoav
Freund and
Robert Schapire in 1995, who won the...
- jboost;
AdaBoost, LogitBoost, RobustBoost,
Boostexter and
alternating decision trees R
package adabag:
Applies Multiclass AdaBoost.M1,
AdaBoost-SAMME and...
- classifier.
CoBoosting accomplishes this feat by
borrowing concepts from
AdaBoost. In both
CoTrain and
CoBoost the
training and
testing example sets must...
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Talpiot program of the
Israeli army. He is best
known for his work on the
AdaBoost algorithm, an
ensemble learning algorithm which is used to
combine many...
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discovered repeatedly in very
diverse fields such as
machine learning (
AdaBoost, Winnow, Hedge),
optimization (solving
linear programs),
theoretical computer...
- The
original paper casts the
AdaBoost algorithm into a
statistical framework. Specifically, if one
considers AdaBoost as a
generalized additive model...
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essentially a
boosted feature learning algorithm,
trained by
running a
modified AdaBoost algorithm on Haar
feature classifiers to find a
sequence of classifiers...
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tends to over-fit more. The most
common implementation of
boosting is
Adaboost, but some
newer algorithms are
reported to
achieve better results.[citation...
- García, N. (2012). "adabag: An R
package for
classification with
AdaBoost.M1,
AdaBoost-SAMME and Bagging". {{cite journal}}: Cite
journal requires |journal=...
-
machine learning methods like
kernel regression,
support vector machines,
AdaBoost,
structured estimation,
among others. For
computer vision in particular...
