429 search results - page 69 / 86 » Machine Learning for Intelligent Processing of Printed Docum... |
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
CF
2007
ACM
13 years 11 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
SIGCSE
2006
ACM
14 years 1 months ago
2006
ACM
The paper describes the first version of the TextMOLE (Text Mining Operations Library and Environment) system for textual data mining. Currently TextMOLE acts as an advanced inde...