56 search results - page 10 / 12 » Stochastic methods for l1 regularized loss minimization |
110
Voted
SDM
2004
SIAM
15 years 1 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
JMLR
2010
14 years 7 months ago
2010
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
NIPS
2001
15 years 1 months ago
2001
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
FOCM
2011
2011
Accuracy and Stability of Computing High-order Derivatives of Analytic Functions by Cauchy Integrals
14 years 7 months ago
Abstract High-order derivatives of analytic functions are expressible as Cauchy integrals over circular contours, which can very effectively be approximated, e.g., by trapezoidal s...
126
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ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...