Resampling

Results: 951



#Item
41Assessing Data Mining Results via Swap Randomization Aristides Gionis Heikki Mannila  Taneli Mielikainen

Assessing Data Mining Results via Swap Randomization Aristides Gionis Heikki Mannila Taneli Mielikainen

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Source URL: www.cs.uoi.gr

Language: English - Date: 2006-06-19 10:07:06
42Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed Yulia R. Gel University of Texas at Dallas, USA Vyacheslav Lyubchich

Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed Yulia R. Gel University of Texas at Dallas, USA Vyacheslav Lyubchich

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Source URL: esc.cbl.umces.edu

Language: English - Date: 2015-08-24 23:44:33
43BMC Genetics  BioMed Central Open Access

BMC Genetics BioMed Central Open Access

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Source URL: www.bio.sdsu.edu

Language: English - Date: 2009-07-22 13:40:05
44

PDF Document

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Source URL: en.sceco.umontreal.ca

Language: English - Date: 2015-09-25 14:10:50
45ABS: a System for Scalable Approximate Queries with Accuracy Guarantees Kai Zeng† † †

ABS: a System for Scalable Approximate Queries with Accuracy Guarantees Kai Zeng† † †

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Source URL: web.eecs.umich.edu

Language: English - Date: 2015-03-27 17:54:39
46Efficient Evaluation of Classification and Recognition Systems Ross J. Micheals Terrance E. Boult  Vision and Software Technology (VAST) Lab

Efficient Evaluation of Classification and Recognition Systems Ross J. Micheals Terrance E. Boult Vision and Software Technology (VAST) Lab

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Source URL: www.vast.uccs.edu

Language: English - Date: 2003-12-24 21:58:14
47Microsoft Word - Advanced statistical.docx

Microsoft Word - Advanced statistical.docx

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Source URL: gemwem.ch

Language: English - Date: 2016-01-27 10:58:26
48Dear GEMS users, Discussions with and feedback from GEMS users revealed to us that some users use the system for analysis of extremely small sample datasets. A good heuristic rule for defining extremely small

Dear GEMS users, Discussions with and feedback from GEMS users revealed to us that some users use the system for analysis of extremely small sample datasets. A good heuristic rule for defining extremely small

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Source URL: www.gems-system.org

Language: English - Date: 2005-10-21 16:55:14
49Chapter 7 Image Resampling (GEOM ) Raw IUE images suffer from spatial distortions introduced by the SEC Vidicon cameras. The electrostatically-focused imaging section of the camera produces a pincushion distortion, while

Chapter 7 Image Resampling (GEOM ) Raw IUE images suffer from spatial distortions introduced by the SEC Vidicon cameras. The electrostatically-focused imaging section of the camera produces a pincushion distortion, while

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Source URL: ines.ts.astro.it

Language: English - Date: 2001-02-23 07:05:18
    50Chapter 7 Image Resampling (GEOM ) Raw IUE images suffer from spatial distortions introduced by the SEC Vidicon cameras. The electrostatically-focused imaging section of the camera produces a pincushion distortion, while

    Chapter 7 Image Resampling (GEOM ) Raw IUE images suffer from spatial distortions introduced by the SEC Vidicon cameras. The electrostatically-focused imaging section of the camera produces a pincushion distortion, while

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    Source URL: ines.oat.ts.astro.it

    Language: English - Date: 2001-02-23 07:05:18