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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...
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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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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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introduced by Yoav
Freund in 2001.
AdaBoost performs well on a
variety of datasets; however, it can be
shown that
AdaBoost does not
perform well on noisy...
- 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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Award in 1991. In 1996,
collaborating with Yoav Freund, he
invented the
AdaBoost algorithm, a
breakthrough that led to
their joint receipt of the Gödel...
- classifier.
CoBoosting accomplishes this feat by
borrowing concepts from
AdaBoost. In both
CoTrain and
CoBoost the
training and
testing example sets must...
- García, N. (2012). "adabag: An R
package for
classification with
AdaBoost.M1,
AdaBoost-SAMME and Bagging". {{cite journal}}: Cite
journal requires |journal=...
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character recognition includes Haar-like features,
Freeman Chain code,
AdaBoost detection and deep
learning neural networks methods. Haar-like features...
