331 search results - page 2 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
JMLR
2010
13 years 3 months ago
2010
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 differen...
INFORMATICALT
2007
13 years 4 months ago
2007
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
NIPS
2000
13 years 6 months ago
2000
The Vicinal Risk Minimization principle establishes a bridge between generative models and methods derived from the Structural Risk Minimization Principle such as Support Vector M...
NIPS
2003
13 years 6 months ago
2003
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...