1329 search results - page 60 / 266 » Randomly Sampling Molecules |
RIDE
1997
IEEE
14 years 2 months ago
1997
IEEE
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
AI
2004
Springer
13 years 10 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
EMNLP
2010
13 years 8 months ago
2010
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
EMNLP
2009
13 years 8 months ago
2009
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...