Entropy

Results: 2509



#Item
991Horizon Entropy and LQG Carlo Rovelli - Major steps ahead in LQG, recently (see in particular the talks of Pranzetti, Perez and Bianchi)

Horizon Entropy and LQG Carlo Rovelli - Major steps ahead in LQG, recently (see in particular the talks of Pranzetti, Perez and Bianchi)

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Source URL: www.cpt.univ-mrs.fr

Language: English - Date: 2012-07-11 08:10:15
992In F. Detje, D. D¨ orner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modelling (pp. 21–26). Bamberg, Germany: Universit¨ ats–Verlag Bamberg, [removed]The Use of Entropy for Ana

In F. Detje, D. D¨ orner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modelling (pp. 21–26). Bamberg, Germany: Universit¨ ats–Verlag Bamberg, [removed]The Use of Entropy for Ana

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Source URL: www.eis.mdx.ac.uk

Language: English - Date: 2006-01-31 05:13:14
993Nonlin. Processes Geophys., 22, 187–196, 2015 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License.  Statistical optimization for passive scalar transp

Nonlin. Processes Geophys., 22, 187–196, 2015 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Statistical optimization for passive scalar transp

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Source URL: www.nonlin-processes-geophys.net

Language: English - Date: 2015-03-25 03:19:12
994Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu

Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-08-12 21:03:23
995Microsoft Word - A10.4_BSE2213.doc

Microsoft Word - A10.4_BSE2213.doc

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Source URL: www.bse.polyu.edu.hk

Language: English - Date: 2012-09-05 02:55:43
996Information Theory, Pattern Recognition and Neural Networks Handout 2 February 23, 2007 Reading associated with the current lectures – Chapters 3, 21 (especially sec 21.2), and 22 (especially sec 22.1), and 27. Homewor

Information Theory, Pattern Recognition and Neural Networks Handout 2 February 23, 2007 Reading associated with the current lectures – Chapters 3, 21 (especially sec 21.2), and 22 (especially sec 22.1), and 27. Homewor

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Source URL: wol.ra.phy.cam.ac.uk

Language: English - Date: 2007-02-23 05:13:00
997In C. Johnson (Ed.), Proceedings of the AISB’04 Symposium on Emotion, Cognition and Affective Computing ISBN[removed], (pp. 1–8). Leeds, UK, 2004. On Relation between Emotion and Entropy Roman V. Belavkin 

In C. Johnson (Ed.), Proceedings of the AISB’04 Symposium on Emotion, Cognition and Affective Computing ISBN[removed], (pp. 1–8). Leeds, UK, 2004. On Relation between Emotion and Entropy Roman V. Belavkin 

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Source URL: www.eis.mdx.ac.uk

Language: English - Date: 2006-01-31 05:13:14
99817  MDL in Context In this chapter, we compare refined MDL to various other statistical inference methods. We start in Section 17.1, with a comparison between MDL and various frequentist approaches. Section 17.2 consider

17 MDL in Context In this chapter, we compare refined MDL to various other statistical inference methods. We start in Section 17.1, with a comparison between MDL and various frequentist approaches. Section 17.2 consider

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Source URL: homepages.cwi.nl

Language: English - Date: 2007-08-24 08:53:49
999TECHNICAL REPORT CR-RD-AS[removed]BAYESIAN INTERPOLATION AND DECONVOLUTION G. LARRY BRETTHORST Washington University

TECHNICAL REPORT CR-RD-AS[removed]BAYESIAN INTERPOLATION AND DECONVOLUTION G. LARRY BRETTHORST Washington University

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
1000Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2007 Please work on the following exercise before lecture 2. The weighing problem

Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2007 Please work on the following exercise before lecture 2. The weighing problem

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Source URL: wol.ra.phy.cam.ac.uk

Language: English - Date: 2007-01-25 12:38:17