116 search results - page 23 / 24 » Empirical Bernstein Boosting |
AI
2002
Springer
13 years 9 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
JMLR
2002
13 years 9 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
INFOCOM
2011
IEEE
13 years 1 months ago
2011
IEEE
—Online spectrum auctions offer ample flexibility for bidders to request and obtain spectrum on-the-fly. Such flexibility, however, opens up new vulnerabilities to bidder mani...