2884 search results - page 241 / 577 » Evaluating learning algorithms and classifiers |
89
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CLEF
2010
Springer
15 years 1 months ago
2010
Springer
For the patent classification task of the 2010 CLEF-IP evaluation we have used three different approaches combining semantics and statistics-driven techniques: first approach is b...
86
Voted
CORR
2002
Springer
15 years 11 days ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
118
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DMIN
2008
15 years 2 months ago
2008
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
94
Voted
FGR
2006
IEEE
15 years 6 months ago
2006
IEEE
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
105
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...