Greedy algorithm

Results: 236



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11This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON POWER SYSTEMS 1  Phase Balancing Using Energy Storage

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON POWER SYSTEMS 1 Phase Balancing Using Energy Storage

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Source URL: www.comm.utoronto.ca

Language: English - Date: 2016-02-29 23:17:52
12Genome Informatics 12: 184–A Mini-Greedy Algorithm for Faster Structural RNA Stem-Loop Search

Genome Informatics 12: 184–A Mini-Greedy Algorithm for Faster Structural RNA Stem-Loop Search

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Source URL: www.jsbi.org

Language: English - Date: 2002-01-17 03:51:05
13arXiv:1511.07147v1 [cs.LG] 23 NovA PAC Approach to Application-Specific Algorithm Selection∗ Rishi Gupta  Tim Roughgarden

arXiv:1511.07147v1 [cs.LG] 23 NovA PAC Approach to Application-Specific Algorithm Selection∗ Rishi Gupta Tim Roughgarden

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Source URL: arxiv.org

Language: English - Date: 2015-11-23 20:51:24
14X Do Externalities Degrade GSP’s Efficiency? Tim Roughgarden, Stanford ´ Tardos, Cornell Eva

X Do Externalities Degrade GSP’s Efficiency? Tim Roughgarden, Stanford ´ Tardos, Cornell Eva

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Source URL: theory.stanford.edu

Language: English - Date: 2012-06-21 14:07:51
15MATEC Web of Conferences 4 2 ,  ) DOI: m atecconf1 0  C Owned by the authors, published by EDP Sciences, 2016  Evaluation of different frontier-based multi-robot exploration stra

MATEC Web of Conferences 4 2 , ) DOI: m atecconf1 0  C Owned by the authors, published by EDP Sciences, 2016 Evaluation of different frontier-based multi-robot exploration stra

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Source URL: www.matec-conferences.org

Language: English
16M OTIVATION • Deep feature learning is heavily co-related with sample selection, while some outliers or hard samples may degenerate the performance. An interesting problem arises, which is the focus of this work: How t

M OTIVATION • Deep feature learning is heavily co-related with sample selection, while some outliers or hard samples may degenerate the performance. An interesting problem arises, which is the focus of this work: How t

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Source URL: image-net.org

Language: English - Date: 2015-12-16 23:04:50
17Sutra: International Journal of Mathematical Science Education, Technomathematics Research Foundation Vol. 1, No. 1, , 2008 CLASS-ROOM NOTES: OPTIMIZATION PROBLEM SOLVING - I

Sutra: International Journal of Mathematical Science Education, Technomathematics Research Foundation Vol. 1, No. 1, , 2008 CLASS-ROOM NOTES: OPTIMIZATION PROBLEM SOLVING - I

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Source URL: www.tmrfindia.org

Language: English - Date: 2008-11-10 09:49:21
18Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees Georgios Theocharous Adobe Research

Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees Georgios Theocharous Adobe Research

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Source URL: psthomas.com

Language: English - Date: 2015-05-02 18:41:02
19CS264: Beyond Worst-Case Analysis Lecture #19: Online Algorithms and Random Permutations∗ Tim Roughgarden† December 1, 2014

CS264: Beyond Worst-Case Analysis Lecture #19: Online Algorithms and Random Permutations∗ Tim Roughgarden† December 1, 2014

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Source URL: theory.stanford.edu

Language: English - Date: 2015-01-04 19:18:44
20One-Dimensional Partitioning for Heterogeneous Systems: Theory and Practice ⋆ Ali Pınar a,1, E. Kartal Tabak b and Cevdet Aykanat b,2

One-Dimensional Partitioning for Heterogeneous Systems: Theory and Practice ⋆ Ali Pınar a,1, E. Kartal Tabak b and Cevdet Aykanat b,2

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Source URL: www.sandia.gov

Language: English - Date: 2012-03-07 01:50:39