403 search results - page 54 / 81 » Metric and Kernel Learning Using a Linear Transformation |
180
click to vote
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
109
click to vote
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
With the recent efforts made by computer vision researchers,
more and more types of features have been designed
to describe various aspects of visual characteristics.
Modeling s...
126
click to vote
BMCBI
2011
14 years 8 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
102
Voted
JMLR
2010
14 years 8 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
125
click to vote
ECAI
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...