Conditional expectation

Results: 107



#Item
41Microsoft Word - Characterizing Species at Risk I - BBN modeling[removed]appendix.rtf

Microsoft Word - Characterizing Species at Risk I - BBN modeling[removed]appendix.rtf

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Source URL: www.plexusowls.com

Language: English - Date: 2006-11-05 11:11:50
42Australian Senior Mathematics Journal vol. 28 no. 1

Australian Senior Mathematics Journal vol. 28 no. 1

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Source URL: www.aamt.edu.au

Language: English
43Internal vs. External Risk Measures: How Capital Requirements Differ in Practice Martin Eling and Luisa Tibiletti* August 20, 2008 Abstract: We compare capital requirements derived by tail conditional expectation (TCE) w

Internal vs. External Risk Measures: How Capital Requirements Differ in Practice Martin Eling and Luisa Tibiletti* August 20, 2008 Abstract: We compare capital requirements derived by tail conditional expectation (TCE) w

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Source URL: web.econ.unito.it

Language: English - Date: 2008-10-16 05:57:44
44Log-Linear Approach to Discriminative Training NIPS 2008 Workshop “Speech and Language: Learning-based Methods and Systems” Ralf Schl¨ uter, Georg Heigold, and Hermann Ney

Log-Linear Approach to Discriminative Training NIPS 2008 Workshop “Speech and Language: Learning-based Methods and Systems” Ralf Schl¨ uter, Georg Heigold, and Hermann Ney

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Source URL: research.microsoft.com

Language: English - Date: 2009-01-03 02:48:23
45Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures Konstantinos Bousmalis1 , Stefanos Zafeiriou1 , Louis–Philippe Morency2 , Maja Pantic1 , and Zoubin Ghahramani3 1

Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures Konstantinos Bousmalis1 , Stefanos Zafeiriou1 , Louis–Philippe Morency2 , Maja Pantic1 , and Zoubin Ghahramani3 1

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Source URL: multicomp.ict.usc.edu

Language: English - Date: 2013-07-12 06:30:16
46Theory and Applications of Categories, Vol. 29, No. 14, 2014, pp. 389–405.  TOWARD CATEGORICAL RISK MEASURE THEORY TAKANORI ADACHI Abstract. We introduce a category that represents varying risk as well as ambiguity. We

Theory and Applications of Categories, Vol. 29, No. 14, 2014, pp. 389–405. TOWARD CATEGORICAL RISK MEASURE THEORY TAKANORI ADACHI Abstract. We introduce a category that represents varying risk as well as ambiguity. We

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Source URL: www.emis.de

Language: English - Date: 2014-08-05 12:54:00
47Evidence-Specific Structures for Rich Tractable CRFs  Carlos Guestrin Carnegie Mellon University [removed]

Evidence-Specific Structures for Rich Tractable CRFs Carlos Guestrin Carnegie Mellon University [removed]

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Source URL: www.select.cs.cmu.edu

Language: English - Date: 2010-12-02 01:46:24
48Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction Luheng He Jennifer Gillenwater Computer and Information Science University of Pennsylvania

Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction Luheng He Jennifer Gillenwater Computer and Information Science University of Pennsylvania

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Source URL: homes.cs.washington.edu

Language: English - Date: 2013-06-12 16:10:52
49arXiv:1310.8499v2 [cs.LG] 20 May[removed]Deep AutoRegressive Networks Karol Gregor Ivo Danihelka

arXiv:1310.8499v2 [cs.LG] 20 May[removed]Deep AutoRegressive Networks Karol Gregor Ivo Danihelka

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Source URL: arxiv.org

Language: English - Date: 2014-05-20 20:36:13
50Buffered Probability of Exceedance and Buffered Service Level: Definitions and Properties  Stan Uryasev October 14, 2014 RESEARCH REPORT #2014-3

Buffered Probability of Exceedance and Buffered Service Level: Definitions and Properties Stan Uryasev October 14, 2014 RESEARCH REPORT #2014-3

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Source URL: www.ise.ufl.edu

Language: English - Date: 2014-11-03 12:38:13