Higher-order typed languages, such as ML, provide strong support for data and type abn. While such abstraction is often viewed as costing performance, there are situations where i...
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
MPI datatypes are a convenient abstraction for manipulating complex data structures and are useful in a number of contexts. In some cases, these descriptions need to be preserved o...
Abstract— Short TCP flows may suffer significant responsetime performance degradations during network congestion. Unfortunately, this creates an incentive for misbehavior by cl...
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...