373 search results - page 61 / 75 » Class Separability in Spaces Reduced By Feature Selection |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
JMLR
2010
13 years 2 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
VIS
2007
IEEE
2007
IEEE
Contextualized Videos: Combining Videos with Environment Models to Support Situational Understanding
14 years 8 months ago
Multiple spatially-related videos are increasingly used in security, communication, and other applications. Since it can be difficult to understand the spatial relationships betwee...
TC
2010
13 years 2 months ago
2010
In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
NIPS
2001
13 years 9 months ago
2001
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...