This paper explains two projects dealing with spam recently completed at Iowa State University (ISU). The first project was undertaken by a team composed of members of the campus ...
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...