331 search results - page 1 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
106
Voted
CORR
2008
Springer
15 years 1 months ago
2008
Springer
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
115
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CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
— We propose a new family of classification algorithms in the spirit of support vector machines, that builds in non-conservative protection to noise and controls overfitting. O...
97
Voted
AAAI
2006
15 years 2 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
80
Voted
NIPS
2007
15 years 2 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
141
Voted
KDD
2007
ACM
16 years 1 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...