Machine Project

Results: 703



#Item
6613GPP TR[removed]V9[removed]Technical Report 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Feasibility study on the security aspects of remote

3GPP TR[removed]V9[removed]Technical Report 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Feasibility study on the security aspects of remote

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Source URL: www.qtc.jp

Language: English - Date: 2010-04-26 10:03:32
662GENTLE MACHINE PRODUCTIONS LLC PRESENTS A PETER JOSEPH FILM “ECONOMISTS TODAY ARE, IN FACT, NOT ECONOMISTS AT ALL. THEY ARE PROPAGANDISTS OF MONEY VALUE. THIS SYSTEM IS MORE WASTEFUL THAN EVERY OTHER SYSTEM IN THE HIST

GENTLE MACHINE PRODUCTIONS LLC PRESENTS A PETER JOSEPH FILM “ECONOMISTS TODAY ARE, IN FACT, NOT ECONOMISTS AT ALL. THEY ARE PROPAGANDISTS OF MONEY VALUE. THIS SYSTEM IS MORE WASTEFUL THAN EVERY OTHER SYSTEM IN THE HIST

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Source URL: www.zeitgeistmovingforward.com

Language: English - Date: 2010-11-07 15:28:01
663Index NUMBERS AND SYMBOLS *-property of BLP model, 245 in Chinese Wall model, 282 3gpp (Third Generation Partnership Project),

Index NUMBERS AND SYMBOLS *-property of BLP model, 245 in Chinese Wall model, 282 3gpp (Third Generation Partnership Project),

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Source URL: www.cl.cam.ac.uk

Language: English - Date: 2008-04-27 10:13:33
664GENTLE MACHINE PRODUCTIONS LLC PRESENTS A PETER JOSEPH FILM “ECONOMISTS TODAY ARE, IN FACT, NOT ECONOMISTS AT ALL. THEY ARE PROPAGANDISTS OF MONEY VALUE. THIS SYSTEM IS MORE WASTEFUL THAN EVERY OTHER SYSTEM IN THE HIST

GENTLE MACHINE PRODUCTIONS LLC PRESENTS A PETER JOSEPH FILM “ECONOMISTS TODAY ARE, IN FACT, NOT ECONOMISTS AT ALL. THEY ARE PROPAGANDISTS OF MONEY VALUE. THIS SYSTEM IS MORE WASTEFUL THAN EVERY OTHER SYSTEM IN THE HIST

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Source URL: www.zeitgeistmovingforward.com

Language: English - Date: 2010-12-16 15:57:38
665Awards & Announcements  Dr. Tong Zhang Machine Learning Methods for Big Data Analytics This project studies methods for scalable data analysis, including sampling methods, dimensionality reduction techniques as well as l

Awards & Announcements Dr. Tong Zhang Machine Learning Methods for Big Data Analytics This project studies methods for scalable data analysis, including sampling methods, dimensionality reduction techniques as well as l

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Source URL: www.stat.rutgers.edu

- Date: 2013-06-04 15:06:28
    666Data Stream Mining and Analytics: From Hurricanes to Personalized Medicine Extend state-of-the-art data stream clustering to model temporal/order aspects of stream data to improve hurricane intensity prediction and enabl

    Data Stream Mining and Analytics: From Hurricanes to Personalized Medicine Extend state-of-the-art data stream clustering to model temporal/order aspects of stream data to improve hurricane intensity prediction and enabl

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    Source URL: michael.hahsler.net

    Language: English - Date: 2013-10-21 10:43:43
    667Quarterly newsletter of the U.S. Labor Education in the Americas Project  Fall 2012: Issue #3  Fighting for worker justice in the global economy

    Quarterly newsletter of the U.S. Labor Education in the Americas Project Fall 2012: Issue #3 Fighting for worker justice in the global economy

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    Source URL: www.usleap.org

    Language: English - Date: 2012-10-24 16:17:29
    668IP5 MMT Project  June 2012 Korean Intellectual Property Office

    IP5 MMT Project June 2012 Korean Intellectual Property Office

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    Source URL: www.fiveipoffices.org

    Language: English - Date: 2014-06-03 08:43:58
    669Introduction to stream: An extensible Framework for Data Stream Clustering Research with R Michael Hahsler Matthew Bola˜ nos

    Introduction to stream: An extensible Framework for Data Stream Clustering Research with R Michael Hahsler Matthew Bola˜ nos

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    Source URL: cran.r-project.org

    Language: English - Date: 2014-06-16 18:19:30
    670Patent Translate Removing language barriers from patent information Dr. Artur Raczynski Project Manager: Machine Translation

    Patent Translate Removing language barriers from patent information Dr. Artur Raczynski Project Manager: Machine Translation

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    Source URL: documents.epo.org

    Language: English - Date: 2013-08-07 02:24:07