945 search results - page 9 / 189 » Improved Boosting Algorithms using Confidence-Rated Predicti... |
125
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CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
116
Voted
ICMLA
2008
15 years 2 months ago
2008
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
106
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FLAIRS
2006
15 years 2 months ago
2006
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
165
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ECML
2007
Springer
15 years 6 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
120
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BIBM
2008
IEEE
15 years 7 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...