Increasing system and algorithmic complexity, combined with a growing number of tuanble application parameters, pose significant challenges for analytical performance modeling. This report outlines a series of robust techniques that enable efficient parameter space exploration based on empirical statistical modeling. In particular, this report applies statistical techniques such as clustering, ...

Regression testing is a necessary but expensive maintenance activity aimed at showing that code has not been adversely affected by changes. Regression test selection techniques reuse tests from an existing test suite to test a modified program. Many regression test selection techniques have been proposed; however, it is difficult to compare and evaluate these techniques because they have differ...

Machine translation is the task of automatically nding the translation of a source sentence in the target language. Statistical machine translation (SMT) use parallel corpora or bilingual paired corpora that are known to be translations of each other to nd a likely translation for a given source sentence based on the observed translations. The task of machine translation can be seen as an insta...

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quality evaluation is one of the effective activities in trade, economy and the health of communities. for this purpose, non-destructive methods are increasingly used, as they are faster and more economical in comparison with destructive ones. this study investigated the feasibility of predicting firmness by laser light backscattering imaging system, as a new non-destructive method for one cult...

curve flexibility in adolescent idiopathic scoliosis (ais) was one of the major concerns of spinal surgeons since the evolution of surgical correction techniques. in this respect, many tried to identify which criteria denote more rigid curve. in the present study, we aimed toward determining important factors influencing ais curve flexibility on supine bending films. we assessed radiographs of ...

This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is key element this approach. enhances clear pavement scientists well quantitative researchers their further collaborative learning with an analytical base.