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Titlebook: Recent Advances in Statistical Research and Data Analysis; Yasumasa Baba (Professor),Anthony J. Hayter (Assoc Conference proceedings 2002

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發(fā)表于 2025-3-21 18:35:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Advances in Statistical Research and Data Analysis
編輯Yasumasa Baba (Professor),Anthony J. Hayter (Assoc
視頻videohttp://file.papertrans.cn/823/822997/822997.mp4
概述Provides current topics on clinical trial, multivariate analysis
圖書封面Titlebook: Recent Advances in Statistical Research and Data Analysis;  Yasumasa Baba (Professor),Anthony J. Hayter (Assoc Conference proceedings 2002
描述.Recent Advances in Statistical Research and Data Analysis. is a collection of papers presented at the symposium of the same name, held in Tokyo by the Center for Information on Statistical Science of the Institute of Statistical Mathematics (ISM). Under the auspices of the Ministry of Education, Culture, Sports, Science and Technology of Japan, the ISM has created visiting professorships and organized symposia to promote collaboration between researchers from Japan and those from other countries. At the symposium on recent advances in statistical research and data analysis, the keynote speaker was Visiting Professor Anthony J. Hayter. This book includes Prof. Hayter‘s address as well as papers from special lectures that were presented at the symposium. All the contributions are concerned with theory and methodology for real data and thus will benefit researchers, students, and others engaged in data analysis.
出版日期Conference proceedings 2002
關(guān)鍵詞Biometrics; Psychometrics; computation; computational statistics; correlation; data analysis; mathematics;
版次1
doihttps://doi.org/10.1007/978-4-431-68544-9
isbn_softcover978-4-431-68546-3
isbn_ebook978-4-431-68544-9
copyrightThe Institute of Statistical Mathematics 2002
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Chihiro Hirotsuspeed up may be reached on a multi-GPU platform (relatively to the mono-GPU case) and, as a very preliminary but promising result, that the approach can be effectively used to handle heterogenous architectures composed of a multicore chip and multiple GPUs. We expect that these results will pave the
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Anthony J. Haytere meta programming techniques to synthesize multiple versions of a parallel task during the compilation process..To demonstrate its effectiveness, we evaluate the impact of our approach on the performance of a series of eight task parallel benchmarks. For those, our approach achieves substantial spe
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Tatsuo Otsu,Hiroko Matsuospeed up may be reached on a multi-GPU platform (relatively to the mono-GPU case) and, as a very preliminary but promising result, that the approach can be effectively used to handle heterogenous architectures composed of a multicore chip and multiple GPUs. We expect that these results will pave the
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Myung-Hoe Huhn algorithm, and a series of heuristics. We simulate the algorithms on instances derived from a trace of one of Google clusters. Algorithms aware of jobs’ types lead to better performance compared to algorithms solving ...The notion of type enables us to model degeneration of performance caused by c
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Recent Advances in Statistical Research and Data Analysis978-4-431-68544-9
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