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Showing 141 - 160 results of 431 for search '(((( element learning algorithm ) OR ( settlement data algorithm ))) OR ( level coding algorithm ))', query time: 0.31s Refine Results
  1. 141
    Power comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    Power comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

    Published 2024
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  2. 142
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  3. 143
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  4. 144
    Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

    Published 2024
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  5. 145
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

    Published 2024
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  6. 146
    The penetrance tables for the 8 DNME models.

    The penetrance tables for the 8 DNME models. by Liyan Sun (760586)

    Published 2024
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  7. 147
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  8. 148
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

    Published 2024
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  9. 149
    The penetrance tables for the 8 DME models.

    The penetrance tables for the 8 DME models. by Liyan Sun (760586)

    Published 2024
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  10. 150
    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

    Published 2024
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  11. 151
    The penetrance tables for the 6 DNME3 models.

    The penetrance tables for the 6 DNME3 models. by Liyan Sun (760586)

    Published 2024
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  12. 152
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  13. 153
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  14. 154
    Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).

    Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). by Liyan Sun (760586)

    Published 2024
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  15. 155
    Dialogue Propositional Content Replacement (DPCR) code

    Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

    Published 2025
    “…The comparison is between original human-human debate snippets, snippets generated with an IAT-compliant algorithm and snippets produced with ablated versions of the algorithm. …”
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  16. 156
    Source code for data mining from Apache JIRA project.

    Source code for data mining from Apache JIRA project. by Susmita Haldar (17707125)

    Published 2024
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  17. 157
    TreeMap 2016 Stand Size Code Field (Image Service)

    TreeMap 2016 Stand Size Code Field (Image Service) by U.S. Forest Service (17476914)

    Published 2024
    “…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…”
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  18. 158
    Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO<sub>3</sub>–BiMeO<sub>3</sub> Ceramics

    Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO<sub>3</sub>–BiMeO<sub>3</sub> Ceramics by Jian Liu (33711)

    Published 2025
    “…After that, multiple machine learning algorithm models were built to train and predict <i>W</i><sub>rec</sub> and η. …”
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  19. 159
    G4SNVHunter workflow for identifying variants that affect G4 formation.

    G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

    Published 2025
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  20. 160
    This is the interaction.js script from iCn3D node.js framework, to calculate protein-protein interactions across any quaternary interface.

    This is the interaction.js script from iCn3D node.js framework, to calculate protein-protein interactions across any quaternary interface. by Caesar Tawfeeq (21087272)

    Published 2025
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