Conditional probability

Results: 429



#Item
31RandNLA: Randomization in Numerical Linear Algebra: Theory and Practice Petros Drineas RPI

RandNLA: Randomization in Numerical Linear Algebra: Theory and Practice Petros Drineas RPI

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Source URL: www.drineas.org

Language: English - Date: 2015-10-26 09:53:58
32IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 37, NO. 3, MAYA New Outlook on Shannon’s Information Measures

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 37, NO. 3, MAYA New Outlook on Shannon’s Information Measures

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Source URL: www.cnd.mcgill.ca

Language: English - Date: 2010-12-26 17:14:19
33The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e

The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e

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Source URL: athenasc.com

Language: English - Date: 2008-07-28 11:00:50
34On Agreement and Learning∗ Elchanan Mossel†, Allan Sly‡and Omer Tamuz§ arXiv:1207.5895v1 [math.ST] 25 JulJuly 26, 2012

On Agreement and Learning∗ Elchanan Mossel†, Allan Sly‡and Omer Tamuz§ arXiv:1207.5895v1 [math.ST] 25 JulJuly 26, 2012

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Source URL: people.hss.caltech.edu

Language: English - Date: 2012-07-27 05:59:55
35Review  TRENDS in Cognitive Sciences Vol.8 No.8 August 2004

Review TRENDS in Cognitive Sciences Vol.8 No.8 August 2004

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Source URL: eccl.mit.edu

Language: English - Date: 2015-03-10 17:29:06
36ON THE COMPUTABILITY OF CONDITIONAL PROBABILITY NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. As inductive inference and machine learning methods in computer science see continued success, research

ON THE COMPUTABILITY OF CONDITIONAL PROBABILITY NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. As inductive inference and machine learning methods in computer science see continued success, research

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Source URL: danroy.org

Language: English - Date: 2011-12-17 12:54:46
    37NONCOMPUTABLE CONDITIONAL DISTRIBUTIONS NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. We study the computability of conditional probability, a fundamental notion in probability theory and Bayesian

    NONCOMPUTABLE CONDITIONAL DISTRIBUTIONS NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. We study the computability of conditional probability, a fundamental notion in probability theory and Bayesian

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    Source URL: danroy.org

    Language: English - Date: 2011-06-10 23:48:01
      38JMLR: Workshop and Conference Proceedings vol 40:1–54, 2015  Convex Risk Minimization and Conditional Probability Estimation Matus Telgarsky  MTELGARS @ CS . UCSD . EDU

      JMLR: Workshop and Conference Proceedings vol 40:1–54, 2015 Convex Risk Minimization and Conditional Probability Estimation Matus Telgarsky MTELGARS @ CS . UCSD . EDU

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      Source URL: jmlr.org

      Language: English - Date: 2015-07-20 20:08:36
        39Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1

        Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1

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        Source URL: dept.stat.lsa.umich.edu

        Language: English - Date: 2015-05-04 22:34:06
        40Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

        Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

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        Source URL: www.cc.gatech.edu

        Language: English - Date: 2009-09-04 13:43:12