Big O notation

Results: 335



#Item
51Rigorous Runtime Analysis of a (µ+1) ES for the Sphere Function ∗ Carsten Witt

Rigorous Runtime Analysis of a (µ+1) ES for the Sphere Function ∗ Carsten Witt

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Source URL: ls2-www.cs.uni-dortmund.de

Language: English - Date: 2007-02-01 10:30:10
52Stochastic Imitative Game Dynamics with Committed Agents∗ William H. Sandholm† January 16, 2012 Abstract We consider models of stochastic evolution in two-strategy games in which agents

Stochastic Imitative Game Dynamics with Committed Agents∗ William H. Sandholm† January 16, 2012 Abstract We consider models of stochastic evolution in two-strategy games in which agents

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Source URL: www.ssc.wisc.edu

Language: English - Date: 2012-02-08 16:00:47
53Characterizations of Border Bases Achim Kehrein and Martin Kreuzer Fachbereich Mathematik Universit¨ at Dortmund DDortmund, Germany

Characterizations of Border Bases Achim Kehrein and Martin Kreuzer Fachbereich Mathematik Universit¨ at Dortmund DDortmund, Germany

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Source URL: www.symbcomp.fim.uni-passau.de

Language: English - Date: 2014-10-23 06:36:36
54Enabling Operator Reordering in Data Flow Programs Through Static Code Analysis Fabian Hueske Aljoscha Krettek

Enabling Operator Reordering in Data Flow Programs Through Static Code Analysis Fabian Hueske Aljoscha Krettek

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Source URL: stratosphere.eu

Language: English - Date: 2016-05-27 12:05:58
553253  ELECTROMAGNETIC SOURCES IN MOVING SIMPLE MEDIUM where 0 is the unit step function, i.e.,

3253 ELECTROMAGNETIC SOURCES IN MOVING SIMPLE MEDIUM where 0 is the unit step function, i.e.,

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Source URL: people.mpim-bonn.mpg.de

Language: English - Date: 2011-05-20 06:01:27
56OPTIMA 89 Mathematical Optimization Society Newsletter Philippe L. Toint  MOS Chair’s Column

OPTIMA 89 Mathematical Optimization Society Newsletter Philippe L. Toint MOS Chair’s Column

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Source URL: www.mathopt.org

Language: English - Date: 2012-08-19 04:03:52
57JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015  Label optimal regret bounds for online local learning Pranjal Awasthi∗  PAWASHTI @ CS . PRINCETON . EDU

JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015 Label optimal regret bounds for online local learning Pranjal Awasthi∗ PAWASHTI @ CS . PRINCETON . EDU

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
58Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Linear bandits. • Exponential weights with unbiased loss estimates. • Controlling loss estimates and their variance.

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Linear bandits. • Exponential weights with unbiased loss estimates. • Controlling loss estimates and their variance.

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2014-10-20 17:04:08
59May 21, Spring 2008 Final Exam Introduction to Algorithms Massachusetts Institute of Technology

May 21, Spring 2008 Final Exam Introduction to Algorithms Massachusetts Institute of Technology

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Source URL: courses.csail.mit.edu

Language: English - Date: 2009-05-07 21:17:22
60Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta

Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2012-02-08 11:48:18