331 search results - page 27 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
NN
2010
Springer
13 years 2 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
ESANN
2004
13 years 9 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
KES
2007
Springer
13 years 7 months ago
2007
Springer
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
COLT
2001
Springer
14 years 2 days ago
2001
Springer
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...