Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
This paper presents a benchmarking suite that measures the performance of using sockets and eXtensible Markup Language remote procedure calls (XML-RPC) to exchange intra-node mess...
Philip F. Burdette, William F. Jones, Brian C. Blo...
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
"Function Tokens" and "NOP Fills" are two methods proposed by various authors to deal with Instruction Pointer corruption in microcontrollers, especially in th...
Abstract. This paper presents a comparison of basic progressive and wavelet radiosity algorithms. Several variants of each algorithm were run on a set of scenes at several paramete...