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AdaBoost

Known as: Adaboosting 
AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the Gödel Prize… Expand
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Papers overview

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Highly Cited
2008
Highly Cited
2008
The use of SVM (Support Vector Machine) as component classifier in AdaBoost may seem like going against the grain of the Boosting… Expand
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Highly Cited
2008
Highly Cited
2008
Abstract Detailed land use/land cover classification at ecotope level is important for environmental evaluation. In this study… Expand
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Highly Cited
2006
Highly Cited
2006
We present an algorithm that predicts musical genre and artist from an audio waveform. Our method uses the ensemble learner… Expand
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Highly Cited
2006
Highly Cited
2006
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of… Expand
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Highly Cited
2004
Highly Cited
2004
Recently ensemble methods like ADABOOST have been applied successfully in many problems, while seemingly defying the problems of… Expand
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Highly Cited
2004
Highly Cited
2004
We give a unified account of boosting and logistic regression in which each learning problem is cast in terms of optimization of… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a rotation invariant multi-view face detection method based on Real Adaboost algorithm. Human faces are… Expand
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Highly Cited
2002
Highly Cited
2002
A sulfur electrode is described which includes a sulfur-carbon plug with a central aperture extending partially therethrough, and… Expand
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Highly Cited
2002
Highly Cited
2002
This paper presents a Named Entity Extraction (NEE) system for the CoNLL 2002 competition. The two main sub-tasks of the problem… Expand
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Highly Cited
2001
Highly Cited
2001
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative… Expand
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