295 search results - page 7 / 59 » An iterative unsupervised learning method for information di... |
NAACL
2010
13 years 5 months ago
2010
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
IWC
2002
13 years 7 months ago
2002
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
IDA
2005
Springer
14 years 1 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
JCDL
2005
ACM
14 years 1 months ago
2005
ACM
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliogra...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...