Lp space

Results: 142



#Item
31Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions Xinhua Zhang Yaoliang Yu  Martha White

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions Xinhua Zhang Yaoliang Yu Martha White

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2012-04-07 16:29:24
32Polar Operators for Structured Sparse Estimation  Xinhua Zhang Machine Learning Research Group National ICT Australia and ANU

Polar Operators for Structured Sparse Estimation Xinhua Zhang Machine Learning Research Group National ICT Australia and ANU

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2013-11-09 21:13:55
33Microsoft PowerPoint - Jaross_Wrkshp7_OMPS-LP

Microsoft PowerPoint - Jaross_Wrkshp7_OMPS-LP

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Source URL: www.iup.uni-bremen.de

Language: English - Date: 2013-07-01 10:04:32
34In IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, [removed]Bounds of Optimal Learning Roman V. Belavkin Abstract—Learning is considered as a dynamic process described by a trajec

In IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, [removed]Bounds of Optimal Learning Roman V. Belavkin Abstract—Learning is considered as a dynamic process described by a trajec

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

Language: English - Date: 2009-04-08 13:14:23
35Chapter 6  Lp Spaces Lp spaces are the most interesting examples of Banach spaces and play a salient role in modern analysis. In this chapter basic features of Lp spaces are studied; in particular, their dual spaces are

Chapter 6 Lp Spaces Lp spaces are the most interesting examples of Banach spaces and play a salient role in modern analysis. In this chapter basic features of Lp spaces are studied; in particular, their dual spaces are

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Source URL: www.math.sinica.edu.tw

Language: English - Date: 2014-05-26 04:51:49
36Contents 1 Introduction and Preliminaries 1.1 Summability of Systems of Real Numbers 1.2 Double Series . . . . . . . . . . . . . . . . 1.3 Coin Tossing . . . . . . . . . . . . . . . . 1.4 Metric Spaces and Normed Vector

Contents 1 Introduction and Preliminaries 1.1 Summability of Systems of Real Numbers 1.2 Double Series . . . . . . . . . . . . . . . . 1.3 Coin Tossing . . . . . . . . . . . . . . . . 1.4 Metric Spaces and Normed Vector

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Source URL: www.math.sinica.edu.tw

Language: English - Date: 2014-09-12 04:57:15
37The “pqr” theorem John Cook November 6, 1993 Suppose p, q and r are seminorms on V . Suppose p + r and p + q are norms. Define

The “pqr” theorem John Cook November 6, 1993 Suppose p, q and r are seminorms on V . Suppose p + r and p + q are norms. Define

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Source URL: www.johndcook.com

Language: English - Date: 2013-07-09 18:23:23
38Digital Trees and Memoryless Sources: from Arithmetics to Analysis Philippe Flajolet1 , Mathieu Roux2,3 , and Brigitte Vall´ee2 1 2 3

Digital Trees and Memoryless Sources: from Arithmetics to Analysis Philippe Flajolet1 , Mathieu Roux2,3 , and Brigitte Vall´ee2 1 2 3

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Source URL: algo.inria.fr

Language: English - Date: 2010-06-01 07:35:36
39On the Universality of Online Mirror Descent Nathan Srebro TTIC [removed]  Karthik Sridharan

On the Universality of Online Mirror Descent Nathan Srebro TTIC [removed] Karthik Sridharan

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Source URL: arxiv.org

Language: English - Date: 2011-07-20 20:13:41
40An Improved Data Stream Summary: The Count-Min Sketch and its Applications Graham Cormode a,∗,? , S. Muthukrishnan b,1 a Center  for Discrete Mathematics and Computer Science (DIMACS), Rutgers University,

An Improved Data Stream Summary: The Count-Min Sketch and its Applications Graham Cormode a,∗,? , S. Muthukrishnan b,1 a Center for Discrete Mathematics and Computer Science (DIMACS), Rutgers University,

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Source URL: dimacs.rutgers.edu

Language: English - Date: 2004-02-10 13:28:10