Analysis of generalization ability for different adaboost variants based on classification and regression trees
作者： Shuqiong Wu , Hiroshi Nagahashi
DOI: 10.1155/2015/835357
关键词:
摘要: … is widely applied to data classification and object detection … improves the classification performance tremendously. As … of six AdaBoost variants in terms of classification margins. The six …
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S.Z. Li, Zhenqiu Zhang, FloatBoost learning and statistical face detection IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 26, pp. 1112- 1123 ,(2004) , 10.1109/TPAMI.2004.68
E. Grossmann, AdaTree: Boosting a Weak Classifier into a Decision Tree computer vision and pattern recognition. pp. 105- 105 ,(2004) , 10.1109/CVPR.2004.296
Chensheng Sun, Jiwei Hu, Kin-Man Lam, None, Feature subset selection for efficient AdaBoost training international conference on multimedia and expo. pp. 1- 6 ,(2011) , 10.1109/ICME.2011.6011905
Yoav Freund, Robert Schapire, Naoki Abe, A Short Introduction to Boosting ,(1999)
P.K. Mallapragada, Rong Jin, A.K. Jain, Yi Liu, SemiBoost: Boosting for Semi-Supervised Learning IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 31, pp. 2000- 2014 ,(2009) , 10.1109/TPAMI.2008.235
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, Resampling or Reweighting: A Comparison of Boosting Implementations international conference on tools with artificial intelligence. ,vol. 1, pp. 445- 451 ,(2008) , 10.1109/ICTAI.2008.59
Robert E Schapire, Joseph K Bradley, FilterBoost: Regression and Classification on Large Datasets neural information processing systems. ,vol. 20, pp. 185- 192 ,(2007)
P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features computer vision and pattern recognition. ,vol. 1, pp. 511- 518 ,(2001) , 10.1109/CVPR.2001.990517
Shuqiong WU, Hiroshi NAGAHASHI, Penalized AdaBoost: Improving the Generalization Error of Gentle AdaBoost through a Margin Distribution IEICE Transactions on Information and Systems. ,vol. 98, pp. 1906- 1915 ,(2015) , 10.1587/TRANSINF.2015EDP7069
FU Zhong-liang, Analysis and Improvement on Real AdaBoost Algorithm Journal of the University of Electronic Science and Technology of China. ,(2012)