68 search results - page 10 / 14 » On the Margin Explanation of Boosting Algorithms |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Abstract--This paper focuses on data structures for multicore reachability, which is a key component in model checking algorithms and other verification methods. A cornerstone of a...
IJCAI
2007
13 years 9 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
KAIS
2010
13 years 6 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...