Sciweavers

245 search results - page 18 / 49
» Can Document Selection Help Semi-supervised Learning
Sort
View
ACL
2001
13 years 11 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
ICML
2004
IEEE
14 years 10 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
IJAMC
2008
99views more  IJAMC 2008»
13 years 10 months ago
Improving Educational Multimedia selection process using group decision support systems
Educational Multimedia (EMM) is becoming a mature and integral part of teaching and learning systems, mainly due to its ability improve teaching and learning. However, EMM selecti...
Mohammed N. A. Abdelhakim, Shervin Shirmohammadi
CBMS
2006
IEEE
14 years 3 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
ECIR
2003
Springer
13 years 11 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...