Showing 1 - 20 results of 32 for search '"Machine learning"', query time: 2.19s Refine Results
  1. 1
    by Lopez, Karol Lina
    Published 2019
    ... the vehicle using machine learning models that can generate, in real time, a near-optimal recharge decision...
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    Doctoral Thesis
  2. 2
    by Drouin, Alexandre
    Published 2019
    ... pharmaceutical targets. Machine learning is a science that aims to develop algorithms that learn from examples...
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    Doctoral Thesis
  3. 3
  4. 4
    by Gagnon, Olivier
    Published 2017
    ... of critical systems. Machine learning, which has had success in recent years, is a technique which should...
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    Dissertation
  5. 5
    by Ouliz, Rhita
    Published 2017
    ... optant pour les techniques de l’apprentissage automatique (en anglais, machine learning). L’apprentissage...
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    Dissertation
  6. 6
    by Brochu, Francis
    Published 2018
    ... science domain of machine learning can then be applied to this data. Statistical machine learning can...
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    Dissertation
  7. 7
    by St-Jean, Alex
    Published 2021
    ... of machine learning to ensurethat these algorithms do not discriminate disproportionately on a subgroup...
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    Dissertation
  8. 8
    by Motta, Jesus Antonio
    Published 2014
    ... for extraction of summaries. More particularly, new machine learning models with the introduction of ontological...
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    Doctoral Thesis
  9. 9
    by El Hatib, Souad
    Published 2020
    ... analysis and machine learning. Mainly, from a given Android application we extract an abstract model...
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    Dissertation
  10. 10
    by Laurence, Edward
    Published 2020
    ... of extracting the structural causesof perturbations using machine learning. The validity of the developed tool...
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    Doctoral Thesis
  11. 11
    by Coulibali, Zonlehoua
    Published 2020
    ... assembled in repeated observational data sets, machine learning models can become useful to predict...
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    Doctoral Thesis
  12. 12
    by Germain, Pascal
    Published 2015
    ... compétitif avec l’état de l’art. === In machine learning, the PAC-Bayesian approach provides statistical...
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    Doctoral Thesis
  13. 13
    by Rouleau, Christian
    Published 2007
    ...». === Machine Learning is a part of the artificial intelligence and is used in many fields in science...
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    Dissertation
  14. 14
    by Choquette, Philippe
    Published 2007
    ... aussi performantes que les SCM optimales. === In the supervised machine learning field, one...
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    Dissertation
  15. 15
    by Latulippe, Maxime
    Published 2013
    ... fast machine learning algorithm, trained on-the-fly under the positive and unlabeled learning paradigm...
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    Dissertation
  16. 16
    by Pageau, Jasmine
    Published 2019
    ... of occupational choice on life expectancy using machine learning techniques. We use Conditional Inference Trees...
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    Dissertation
  17. 17
    by Germain, Pascal
    Published 2009
    ... classifiers family. Secondly, we conceive three new machine learning algorithms based on the minimization...
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    Dissertation
  18. 18
    by Jabiri, Fouad
    Published 2020
    ... are very popular classifiers in supervised machine learning. The isolation forest belongs to the family...
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    Dissertation
  19. 19
    by Beaudoin-Gagnon, Nicolas
    Published 2020
    ... and facial expressions and inputs from an Xbox controller). In this work, supervised machine learning models...
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    Dissertation
  20. 20
    by Parent, Mark, Parent, Mark
    Published 2019
    ... cognitive approach as well as machine learning techniques, is used. This thesis presents results of both a...
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    Doctoral Thesis