Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
Abstract— We developed an automated environment to measure the memory access behavior of applications on high performance clusters. Code optimization for processor caches is cruc...
Abstract. The build architecture of legacy C/C++ software systems, groups program files in directories to represent logical components. The interfaces of these components are loos...
Homayoun Dayani-Fard, Yijun Yu, John Mylopoulos, P...