Showing 1 - 17 results of 17 for search '(( elements per algorithm ) OR ((( implement learner algorithm ) OR ( neural coding algorithm ))))*', query time: 0.12s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  9. 9
  10. 10
  11. 11

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…The proposed algorithms here aim for per-iteration minimization of the mean square estimate error. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  12. 12
  13. 13

    On the complexity of multi-parameterized cluster editing by Abu-Khzam, Faisal

    Published 2017
    “…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  14. 14

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

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
  15. 15

    Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

    Published 2022
    “…The states, actions and rewards design consider the factors that impact the efectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. We use a Q-learning algorithm to solve the modeled problem. …”
    Get full text
    Get full text
  16. 16

    Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

    Published 2020
    “…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”
  17. 17

    After generative AI : preparing faculty to transform education, learning, and pedagogy by Hardey, Mariann

    Published 2025
    “…Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. …”
    Get full text
    Get full text
    Get full text
    Get full text
    bookPart