Search Results - (( estimation using greedy algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

    Published 2011
    “…The MGT algorithm is useful to explore the properties of the Pareto-optimal offers. …”
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    Thesis
  2. 2

    GSAR: Greedy Stand-Alone Position-Based Routing protocol to avoid hole problem occurance in Mobile Ad Hoc Networks by Al-Shugran, Mahmoud Ali

    Published 2014
    “…Hence, designing a reliable and dynamic routing protocol that satisfies MANET requirements is highly demanded. The Greedy Forwarding Strategy (GFS) has been the most used strategy in position-based routing protocols. …”
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    Thesis
  3. 3

    Information Theoretic-based Feature Selection for Machine Learning by Muhammad Aliyu, Sulaiman

    Published 2018
    “…The second test evaluates IFS in a controlled study using simulated datasets. Moreover, the third test used ten natural domain datasets obtained from UCI Repository, in about fifteen different experiments, using three to four different Machine Learning Algorithms for performance evaluation. …”
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  4. 4

    A univariate marginal approach for pairwise testing of software product lines by Sahid, Mohd Zanes, Md Sultan, Abu Bakar, Abdul Ghani, Abdul Azim, Baharom, Salmi

    Published 2017
    “…The experimental results show that in certain problem instances, UMDA is able to compete with existing greedy and search-based algorithms.…”
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    Article
  5. 5

    Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin by Hazalin, Haifaa Mahfuzah

    Published 2020
    “…To solve the issue the Student-Class Optimization System had been developed by using optimization technique, specifically, is a Greedy Algorithm. …”
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  6. 6
  7. 7

    Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data by Oyebayo, Olaniran Ridwan

    Published 2018
    “…BRF algorithm combines the strengths of random subset and greedy selection procedures in creating new maximal ordered variable relevance weights. …”
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    Thesis
  8. 8