—Despite the importance of traffic classification in modern networks, the number of languages tailored to this task is extremely limited. These languages can be valuable, because...
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
This paper describes a classification system discriminating male and female brains from morphometric features of cortical sulci. This system is tested on a database of 143 brains,...
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
As more and more knowledge and information becomes available through computers, a critical capability of systems supporting knowledge management is the classification of documents ...