Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
This paper presents a discussion of simulation-related issues arising in the study of self-similar network traffic with respect to its effect and control. Selfsimilar traffic has...
Abstract. The problem of self-optimization and adaptation in the context of customizable systems is becoming increasingly important with the emergence of complex software systems a...
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...