Výsledky vyhľadávania - "Practical approximation algorithms"

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    Practical approximation algorithms for ℓ1-regularized sparse rank-1 approximation to higher-order tensors Autor Mao, Xianpeng, Yang, Yuning

    ISSN: 1862-4472, 1862-4480
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Vydané v Optimization letters (01.04.2024)
    “…Two approximation algorithms are proposed for ℓ 1 -regularized sparse rank-1 approximation to higher-order tensors. The algorithms are based on multilinear…”
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    Practical Budgeted Submodular Maximization Autor Feldman, Moran, Nutov, Zeev, Shoham, Elad

    ISSN: 0178-4617, 1432-0541
    Vydavateľské údaje: New York Springer US 01.05.2023
    Vydané v Algorithmica (01.05.2023)
    “…We consider the problem of maximizing a non-negative monotone submodular function subject to a knapsack constraint, which is also known as the Budgeted…”
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    Practical Approximation Algorithms for \(\ell_1\)-Regularized Sparse Rank-\(1\) Approximation to Higher-Order Tensors Autor Mao, Xianpeng, Yang, Yuning

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 15.07.2022
    Vydané v arXiv.org (15.07.2022)
    “…Two approximation algorithms are proposed for \(\ell_1\)-regularized sparse rank-1 approximation to higher-order tensors. The algorithms are based on…”
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    Practical approximation algorithms for zero- and bounded-skew trees Autor ZELIKOVSKY, Alexander Z, MANDOIU, Ion I

    ISSN: 0895-4801
    Vydavateľské údaje: Philadelphia, PA Society for Industrial and Applied Mathematics 2002
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    Practical Approximation Algorithms for Zero- and Bounded-Skew Trees Autor Zelikovsky, Alexander Z., Mandoiu, Ion I.

    ISSN: 0895-4801, 1095-7146
    Vydavateľské údaje: Philadelphia Society for Industrial and Applied Mathematics 01.01.2001
    Vydané v SIAM journal on discrete mathematics (01.01.2001)
    “…The skew of an edge-weighted rooted tree is the maximum difference between any two root-to-leaf path weights. Zero- or bounded-skew trees are needed for…”
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    A practical approximation algorithm for the LTS estimator Autor Mount, David M., Netanyahu, Nathan S., Piatko, Christine D., Wu, Angela Y., Silverman, Ruth

    ISSN: 0167-9473, 1872-7352
    Vydavateľské údaje: Elsevier B.V 01.07.2016
    “…The linear least trimmed squares (LTS) estimator is a statistical technique for fitting a linear model to a set of points. It was proposed by Rousseeuw as a…”
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    A practical approximation algorithm for optimal k-anonymity Autor Kenig, Batya, Tassa, Tamir

    ISSN: 1384-5810, 1573-756X
    Vydavateľské údaje: Boston Springer US 01.07.2012
    Vydané v Data mining and knowledge discovery (01.07.2012)
    “… The problem of k -anonymization with minimal loss of information is NP-hard. We present a practical approximation algorithm that enables solving the k -anonymization problem with an approximation guarantee of O (ln k…”
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    A practical approximation algorithm for solving massive instances of hybridization number for binary and nonbinary trees Autor Iersel, Leo van, Kelk, Steven, Lekić, Nela, Scornavacca, Celine

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 05.05.2014
    Vydané v BMC bioinformatics (05.05.2014)
    “…Background Reticulate events play an important role in determining evolutionary relationships. The problem of computing the minimum number of such events to…”
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    A practical approximation algorithm for the LMS line estimator Autor Mount, David M., Netanyahu, Nathan S., Romanik, Kathleen, Silverman, Ruth, Wu, Angela Y.

    ISSN: 0167-9473, 1872-7352
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.02.2007
    “…The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are…”
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    Compressive Network Analysis Autor Xiaoye Jiang, Yuan Yao, Han Liu, Guibas, Leonidas

    ISSN: 0018-9286, 1558-2523
    Vydavateľské údaje: United States IEEE 01.11.2014
    “…Modern data acquisition routinely produces massive amounts of network data. Though many methods and models have been proposed to analyze such data, the…”
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    Clustering Large Probabilistic Graphs Autor Kollios, G., Potamias, M., Terzi, E.

    ISSN: 1041-4347
    Vydavateľské údaje: IEEE 01.02.2013
    “… We extend the edit-distance-based definition of graph clustering to probabilistic graphs. We establish a connection between our objective function and correlation clustering to propose practical approximation algorithms for our problem…”
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    A practical approximation algorithm for solving massive instances of hybridization number for binary and nonbinary trees Autor Leo van Iersel, Kelk, Steven, Lekić, Nela, Scornavacca, Celine

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 01.05.2014
    Vydané v arXiv.org (01.05.2014)
    “…Reticulate events play an important role in determining evolutionary relationships. The problem of computing the minimum number of such events to explain…”
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    An improved lower bound on approximation algorithms for the Closest Substring problem Autor Wang, Jianxin, Chen, Jianer, Huang, Min

    ISSN: 0020-0190, 1872-6119
    Vydavateľské údaje: Amsterdam Elsevier B.V 30.06.2008
    Vydané v Information processing letters (30.06.2008)
    “… As a consequence, it is unlikely that the study of approximation schemes for the CSP problem in the literature would lead to practical approximation algorithms for the problem for small error bound ε…”
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    Fast partitioning l-apex graphs with applications to approximating maximum induced-subgraph problems Autor Thilikos, Dimitrios M., Bodlaender, Hans L.

    ISSN: 0020-0190, 1872-6119
    Vydavateľské údaje: Amsterdam Elsevier B.V 14.03.1997
    Vydané v Information processing letters (14.03.1997)
    “… As a consequence, several maximum induced-subgraph problems when restricted to graph classes not containing some special l-apex graphs as minors, have practical approximation…”
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    Ranking with submodular functions on the fly Autor Zhang, Guangyi, Tatti, Nikolaj, Gionis, Aristides

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 17.01.2023
    Vydané v arXiv.org (17.01.2023)
    “… In particular, we consider two different streaming models and we propose practical approximation algorithms…”
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    (\alpha\)-approximate Reductions: a Novel Source of Heuristics for Better Approximation Algorithms Autor Manne, Fredrik, Geevarghese, Philip, Saket Saurabh, Tale, Prafullkumar

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 27.06.2021
    Vydané v arXiv.org (27.06.2021)
    “…Lokshtanov et al.~[STOC 2017] introduced \emph{lossy kernelization} as a mathematical framework for quantifying the effectiveness of preprocessing algorithms…”
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    Compressive Network Analysis Autor Jiang, Xiaoye, Yao, Yuan, Liu, Han, Guibas, Leonidas

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 24.04.2011
    Vydané v arXiv.org (24.04.2011)
    “…Modern data acquisition routinely produces massive amounts of network data. Though many methods and models have been proposed to analyze such data, the…”
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    Towards practical minimum-entropy universal decoding Autor Coleman, T.P., Medard, M., Effros, M.

    ISBN: 0769523099, 9780769523095
    ISSN: 1068-0314
    Vydavateľské údaje: IEEE 2005
    Vydané v Data Compression Conference (2005)
    “… We introduce practical approximation algorithms for minimum-entropy decoding. Our approach, which relies on ideas from linear programming, exploits two key observations…”
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    A local search approximation algorithm for k-means clustering Autor Kanungo, Tapas, Mount, David M., Netanyahu, Nathan S., Piatko, Christine D., Silverman, Ruth, Wu, Angela Y.

    ISSN: 0925-7721
    Vydavateľské údaje: Elsevier B.V 01.06.2004
    “… We consider the question of whether there exists a simple and practical approximation algorithm for k-means clustering…”
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