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Showing 41 - 60 results of 354 for search '(((( present data algorithm ) OR ( elements method algorithm ))) OR ( implement making algorithm ))', query time: 0.13s Refine Results
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    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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    masterThesis
  7. 47

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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    article
  8. 48

    Robust control of sampled data systems by Al-Sunni, F.M.

    Published 1998
    “…The authors present robust stability bounds for sampled data systems. …”
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    article
  9. 49

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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    article
  10. 50

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…The authors present robust stability bounds for sampled data systems. …”
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    article
  11. 51

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”
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    Data Redundancy Management in Connected Environments by Mansour, Elio

    Published 2020
    “…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …”
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    conferenceObject
  14. 54

    Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

    Published 2022
    “…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …”
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    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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    article
  16. 56

    Graph Contraction for Mapping Data on Parallel Computers by Mansour, N.

    Published 1994
    “…The mapping solution for the original problem is obtained by a straightforward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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    article
  17. 57

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
    “…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …”
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    conferenceObject
  18. 58

    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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    article
  19. 59

    Parallel genetic algorithm for disease-gene association by Mansour, Nashat

    Published 2011
    “…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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    conferenceObject
  20. 60

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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    article