Geometric distribution

Results: 93



#Item
21Geometric Inference for Probability Measures Fr´ed´eric CHAZAL ∗  David COHEN-STEINER

Geometric Inference for Probability Measures Fr´ed´eric CHAZAL ∗ David COHEN-STEINER

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Source URL: quentin.mrgt.fr

Language: English - Date: 2014-01-09 09:41:44
22Proximity Distribution Kernels for Geometric Context in Category Recognition Haibin Ling∗ Integrated Data Systems Department Siemens Corporate Research, Princeton, NJ haibin.ling @ siemens.com

Proximity Distribution Kernels for Geometric Context in Category Recognition Haibin Ling∗ Integrated Data Systems Department Siemens Corporate Research, Princeton, NJ haibin.ling @ siemens.com

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Source URL: www.dabi.temple.edu

Language: English - Date: 2007-08-16 15:02:16
23Mixing Times for Random Walks on Geometric Random Graphs Stephen Boyd Arpita Ghosh

Mixing Times for Random Walks on Geometric Random Graphs Stephen Boyd Arpita Ghosh

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Source URL: www.siam.org

Language: English - Date: 2005-07-06 08:19:10
24Gap-free samples of geometric random variables – Extended Abstract Pawel Hitczenko† Abstract We study the probability that a sample of independent, identically distributed random variables with a geometric distributi

Gap-free samples of geometric random variables – Extended Abstract Pawel Hitczenko† Abstract We study the probability that a sample of independent, identically distributed random variables with a geometric distributi

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Source URL: www.siam.org

Language: English - Date: 2005-07-06 08:18:41
25

PDF Document

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Source URL: www.dartmouth.edu

Language: English - Date: 2003-11-11 09:11:41
26

PDF Document

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Source URL: www.softintegration.com

Language: English - Date: 2004-10-25 19:49:06
27

PDF Document

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Source URL: www.dartmouth.edu

Language: English - Date: 2003-11-11 09:11:39
28Transformations Martin Bland Professor of Health Statistics University of York http://www-users.york.ac.uk/~mb55/msc/

Transformations Martin Bland Professor of Health Statistics University of York http://www-users.york.ac.uk/~mb55/msc/

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Source URL: www-users.york.ac.uk

Language: English - Date: 2006-05-26 08:12:44
29Transformations Summary Many statistical methods require the data to fit assumptions of Normal distribution and uniform variance. When data do not fit these, one approach is to make them do so by a mathematical transform

Transformations Summary Many statistical methods require the data to fit assumptions of Normal distribution and uniform variance. When data do not fit these, one approach is to make them do so by a mathematical transform

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Source URL: www-users.york.ac.uk

Language: English - Date: 2006-06-01 08:34:26
30ECE 102: Digital Circuit Logic

ECE 102: Digital Circuit Logic

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Source URL: www.engr.colostate.edu

Language: English - Date: 2013-09-24 15:44:08