يعرض 1 - 16 نتائج من 16 نتيجة بحث عن 'graph (matching OR machine) algorithm', وقت الاستعلام: 0.06s تنقيح النتائج
  1. 1

    A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM حسب Al-Mohamad, HA

    منشور في 2020
    "…The complexity of the proposed algorithm is polynomial time, and it is O(n6 L) for matching graphs of size n. …"
    احصل على النص الكامل
    article
  2. 2
  3. 3
  4. 4

    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

    منشور في 2020
    "…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
  5. 5

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

    منشور في 2025
    "…Drawing on more than fifteen harmonized datasets that span pyrimidines, ionic liquids, graphene oxides, and additional compound families, we benchmark traditional algorithms, such as artificial neural networks, support vector machines, k-nearest neighbors, random forests, against advanced graph-based and deep architectures including three-level directed message-passing neural networks, 2D3DMol-CIC, and graph convolutional networks. …"
  6. 6
  7. 7

    A linear programming approach for the weighted graph matchingproblem حسب Almohamad, H.A.

    منشور في 1993
    "…The complexity of the proposed algorithm is polynomial time, and it is O(n 6L) for matching graphs of size n. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  8. 8

    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments حسب Barada, Hassan

    منشور في 2020
    "…Workloads are characterized according to the connectivity, heterogeneity, and communication-to-cost ratio of the task graphs representing the application tasks. The performance of SE is compared with a genetic algorithm approach for the same problem with respect to the quality of solutions generated, and timing requirements of the algorithms. r 2003 Elsevier Science Ltd. …"
    احصل على النص الكامل
    article
  9. 9
  10. 10
  11. 11
  12. 12

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

    منشور في 2024
    "…To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  13. 13
  14. 14
  15. 15

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

    منشور في 2018
    "…., considering the lexical and semantic similarities/disparities when matching user query and data index terms. To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  16. 16