28 search results - page 1 / 6 » An Empirical Performance Comparison of Machine Learning Meth... |
HIS
2004
13 years 6 months ago
2004
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
DOCENG
2011
ACM
12 years 4 months ago
2011
ACM
The growth of mobile phone users has lead to a dramatic increasing of SMS spam messages. In practice, fighting mobile phone spam is difficult by several factors, including the lo...
IJCAI
1989
13 years 6 months ago
1989
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
CORR
2000
Springer
13 years 4 months ago
2000
Springer
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
APBC
2003
13 years 6 months ago
2003
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...