245 search results - page 29 / 49 » Can Document Selection Help Semi-supervised Learning |
ICDAR
1999
IEEE
14 years 2 months ago
1999
IEEE
This paper introduces a multifont classification scheme to help recognition of multifont and multisize characters. It uses typographical attributes such as ascenders, descenders a...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
LREC
2010
13 years 11 months ago
2010
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
SIGIR
2011
ACM
13 years 19 days ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
ACML
2009
Springer
14 years 2 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...