Adaptive estimator

Results: 23



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11Adaptive Monte Carlo via Bandit Allocation James Neufeld JNEUFELD @ UALBERTA . CA Andr´as Gy¨orgy GYORGY @ UALBERTA . CA Dale Schuurmans

Adaptive Monte Carlo via Bandit Allocation James Neufeld JNEUFELD @ UALBERTA . CA Andr´as Gy¨orgy GYORGY @ UALBERTA . CA Dale Schuurmans

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2014-05-18 17:42:18
12Discussiones Mathematicae Probability and Statistics[removed]–219 ADAPTIVE TRIMMED LIKELIHOOD ESTIMATION IN REGRESSION Tadeusz Bednarski

Discussiones Mathematicae Probability and Statistics[removed]–219 ADAPTIVE TRIMMED LIKELIHOOD ESTIMATION IN REGRESSION Tadeusz Bednarski

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Source URL: researchrepository.murdoch.edu.au

Language: English - Date: 2012-02-03 01:59:48
13idescat. SORT. Locally adaptive density estimation on Riemannian manifolds. Volume 37 (2)

idescat. SORT. Locally adaptive density estimation on Riemannian manifolds. Volume 37 (2)

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Source URL: www.idescat.cat

Language: English - Date: 2013-12-30 06:43:39
14Efficient independent component analysis

Efficient independent component analysis

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2007-07-25 07:14:48
15Package ‘ezsim’ July 2, 2014 Type Package Title provide an easy to use framework to conduct simulation Version[removed]Date[removed]

Package ‘ezsim’ July 2, 2014 Type Package Title provide an easy to use framework to conduct simulation Version[removed]Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 11:48:19
1692  CHAPTER 4. PREDICTIVE MODELS defines a probability space for which (X, E, P ) is a Bayesian network. Furthermore, P (Xi |C(Xi)) is either 0 or fi (Xi ). Here C(Xi ) denotes the parents (or direct causes) of Xi .

92 CHAPTER 4. PREDICTIVE MODELS defines a probability space for which (X, E, P ) is a Bayesian network. Furthermore, P (Xi |C(Xi)) is either 0 or fi (Xi ). Here C(Xi ) denotes the parents (or direct causes) of Xi .

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Source URL: datamining.anu.edu.au

Language: English - Date: 2011-05-31 01:27:15
17Adaptive Sampling for Multi-Robot Wide Area Prospecting Kian Hsiang Low Geoffrey J. Gordon Pradeep Khosla

Adaptive Sampling for Multi-Robot Wide Area Prospecting Kian Hsiang Low Geoffrey J. Gordon Pradeep Khosla

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Source URL: www.cs.cmu.edu

Language: English - Date: 2005-12-23 15:49:10
18Adaptive Sampling for Multi-Robot Wide Area Prospecting Kian Hsiang Low Geoffrey J. Gordon Pradeep Khosla

Adaptive Sampling for Multi-Robot Wide Area Prospecting Kian Hsiang Low Geoffrey J. Gordon Pradeep Khosla

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-02-18 17:37:03
19Adaptive Sampling for Multi-Robot Wide-Area Exploration Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, and Pradeep Khosla Abstract— The exploration problem is a central issue in mobile robotics. A complete coverag

Adaptive Sampling for Multi-Robot Wide-Area Exploration Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, and Pradeep Khosla Abstract— The exploration problem is a central issue in mobile robotics. A complete coverag

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Source URL: www.cs.cmu.edu

Language: English - Date: 2008-06-04 16:19:10
20Theoretical Population Biology[removed]–178  Contents lists available at SciVerse ScienceDirect Theoretical Population Biology journal homepage: www.elsevier.com/locate/tpb

Theoretical Population Biology[removed]–178 Contents lists available at SciVerse ScienceDirect Theoretical Population Biology journal homepage: www.elsevier.com/locate/tpb

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Source URL: wwworm.biology.uh.edu

Language: English - Date: 2012-08-31 19:22:52