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COLT
2005
Springer
14 years 7 days ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
COLT
2005
Springer
14 years 7 days ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
COLT
2005
Springer
14 years 5 days ago
2005
Springer
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
COLT
2005
Springer
14 years 7 days ago
2005
Springer
In the machine learning community it is generally believed that graph Laplacians corresponding to a ļ¬nite sample of data points converge to a continuous Laplace operator if the s...
COLT
2001
Springer
13 years 11 months ago
2001
Springer
We prove strong noise-tolerance properties of a potential-based boosting algorithm, similar to MadaBoost (Domingo and Watanabe, 2000) and SmoothBoost (Servedio, 2003). Our analysi...