75 search results - page 7 / 15 » Building Text Classifiers Using Positive and Unlabeled Examp... |
WWW
2002
ACM
14 years 8 months ago
2002
ACM
The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents ...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
IIR
2010
13 years 9 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
MIR
2003
ACM
14 years 21 days ago
2003
ACM
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...