This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Over recent years, "Internet-able" applications have been used to support domains where distributed functionality is essential. This flexibility is also pertinent in situ...
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
? Network analysis, an area of mathematical sociology and anthropology crucial to the linking of theory and observation, developed dramatically in recent decades. These development...
Today's networking community is becoming increasingly skeptical of the significance of research results founded wholly upon experimental results conducted in simulation. Now, ...
Jeffrey Considine, John W. Byers, Ketan Meyer-Pate...