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Titlebook: SSP 2004; Proceedings of the 8 K. K. Kadyrzhanov,V. S. Rusakov Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Hyperfine

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书目名称SSP 2004
副标题Proceedings of the 8
编辑K. K. Kadyrzhanov,V. S. Rusakov
视频video
图书封面Titlebook: SSP 2004; Proceedings of the 8 K. K. Kadyrzhanov,V. S. Rusakov Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Hyperfine
描述.This volume contains papers presented at the 8th International Conference on Solid State Physics (SSP 2004), Workshop "Mössbauer Spectroscopy of Locally Heterogeneous Systems", held in Almaty, Kazakhstan, 23–26 August 2004....It should be of interest to researchers and PhD students working or interested in recent results in the locally inhomogeneous system investigations by Mössbauer Spectroscopy and the new concepts of data evaluation of complex Mössbauer spectra..
出版日期Conference proceedings 2006
关键词Hyperfine interaction; Mössbauer spectroscopy; Solid State Physics; crystal; electron; phase transition; s
版次1
doihttps://doi.org/10.1007/978-3-540-36794-9
isbn_softcover978-3-642-07188-1
isbn_ebook978-3-540-36794-9
copyrightSpringer-Verlag Berlin Heidelberg 2006
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N. S. Gajbhiye,R. S. Ningthoujam,Sayan Bhattacharyyants encode activities of daily living, and environmental events encode states and state transitions in environmental variables. Second, it introduces a framework that detects frequent co-occurrence patterns as sequential and parallel relations among events from multiple event streams. We show the ap
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E. P. Yelsukov,G. A. Dorofeevnts encode activities of daily living, and environmental events encode states and state transitions in environmental variables. Second, it introduces a framework that detects frequent co-occurrence patterns as sequential and parallel relations among events from multiple event streams. We show the ap
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N. U. Aldiyarov,K. K. Kadyrzhanov,E. M. Yakushev,V. S. Zhdanov our approach illustrates how to rapidly develop such a system for non-English languages. We evaluate our approach with longitudinal psychotherapy data, collected and annotated over a one year period, and show that our system produces good results in line with professional clinicians’ assessments.
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V. S. Rusakov,K. K. Kadyrzhanovng different training dataset partitions, and test the performances one the corresponding held-out test sets. Experiments show that the best performance of MoSIFT can reach 96.33% on the KTH dataset. When different n-fold cross-validation methods are used, there can be up to 10.67% difference in the
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