15 search results - page 1 / 3 » Speeding Up and Boosting Diverse Density Learning |
DIS
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
NIPS
2007
13 years 6 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
COLT
2005
Springer
13 years 10 months ago
2005
Springer
We present a new generalization bound where the use of unlabeled examples results in a better ratio between training-set size and the resulting classifier’s quality and thus red...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...