We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
— We present in this work a new mechanism based on an innovative hybrid approach for traffic and collision control in wireless ad hoc networks. We combine the well known equatio...
— TCP-Friendly Rate Control (TFRC) is being adopted in Internet standards for congestion control of various streaming media applications. In this paper, we consider the transmiss...
Process variation has become a major concern in the design of many nanometer circuits, including interconnect pipelines. This paper develops closed-form models to predict the dela...