Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Keeping people away from litigious information becomes one of the most important research area in network information security. Indeed, Web filtering is used to prevent access to u...
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...