215 search results - page 37 / 43 » Improving the Representation Space through Exception-Based L... |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
SIGIR
2003
ACM
14 years 17 days ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...