78 search results - page 5 / 16 » Learning and evaluating classifiers under sample selection b... |
TASLP
2010
13 years 2 months ago
2010
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
CSL
2010
Springer
13 years 7 months ago
2010
Springer
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
BMCBI
2010
13 years 7 months ago
2010
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...