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chapters/Publications.tex
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| 20 | 20 | |
| 21 | 21 | \section{Autres publications} |
| 22 | 22 | |
| 23 | -Daniel Soto Forero and Yony Ceballos. Boundary and Geometric Effects in the Facility Exclusion Process (En évaluation).\ | |
| 23 | +Daniel Soto Forero and Yony Ceballos. Boundary and Geometric Effects in the Facilitated Exclusion Process (En évaluation).\ | |
| 24 | 24 | |
| 25 | 25 | Daniel Soto Forero and Yony Ceballos. Metaheuristics Hybridation and Parametrization using Machine Learning (En évaluation).\\ |
| 26 | 26 |
chapters/TS.aux
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| 1 | -\babel@toc {french}{}\relax | |
| 2 | -\contentsline {part}{I\hspace {1em}Contexte et Problématiques}{1}{part.1}% | |
| 3 | -\contentsline {chapter}{\numberline {1}Introduction}{3}{chapter.1}% | |
| 4 | -\contentsline {section}{\numberline {1.1}Contributions Principales}{4}{section.1.1}% | |
| 5 | -\contentsline {section}{\numberline {1.2}Plan de la thèse}{5}{section.1.2}% | |
| 6 | -\contentsline {part}{II\hspace {1em}État de l'art}{7}{part.2}% | |
| 7 | -\contentsline {chapter}{\numberline {2}Contexte}{9}{chapter.2}% | |
| 8 | -\contentsline {section}{\numberline {2.1}Les stratégies d'apprentissage humain et les environnements informatiques pour l'apprentissage humain (EIAH)}{9}{section.2.1}% | |
| 9 | -\contentsline {subsection}{\numberline {2.1.1}Les stratégies d'apprentissage}{9}{subsection.2.1.1}% | |
| 10 | -\contentsline {subsection}{\numberline {2.1.2}Les EIAH}{10}{subsection.2.1.2}% | |
| 11 | -\contentsline {subsection}{\numberline {2.1.3}L'exerciseur initial AI-VT}{11}{subsection.2.1.3}% | |
| 12 | -\contentsline {section}{\numberline {2.2}Le contexte technique}{12}{section.2.2}% | |
| 13 | -\contentsline {subsection}{\numberline {2.2.1}Le raisonnement à partir de cas (RàPC)}{12}{subsection.2.2.1}% | |
| 14 | -\contentsline {subsubsection}{\numberline {2.2.1.1}Retrouver (Rechercher)}{14}{subsubsection.2.2.1.1}% | |
| 15 | -\contentsline {subsubsection}{\numberline {2.2.1.2}Réutiliser (Adapter)}{14}{subsubsection.2.2.1.2}% | |
| 16 | -\contentsline {subsubsection}{\numberline {2.2.1.3}Réviser et Réparer}{14}{subsubsection.2.2.1.3}% | |
| 17 | -\contentsline {subsubsection}{\numberline {2.2.1.4}Retenir (Stocker)}{15}{subsubsection.2.2.1.4}% | |
| 18 | -\contentsline {subsubsection}{\numberline {2.2.1.5}Conteneurs de Connaissance}{16}{subsubsection.2.2.1.5}% | |
| 19 | -\contentsline {subsection}{\numberline {2.2.2}Les systèmes multi-agents}{17}{subsection.2.2.2}% | |
| 20 | -\contentsline {subsection}{\numberline {2.2.3}Différents algorithmes et fonctions implémentés dans AI-VT pour la personnalisation et l'adaptation des séances d'entraînement proposées}{17}{subsection.2.2.3}% | |
| 21 | -\contentsline {subsubsection}{\numberline {2.2.3.1}Pensée Bayesienne}{17}{subsubsection.2.2.3.1}% | |
| 22 | -\contentsline {subsubsection}{\numberline {2.2.3.2}Méthode des k plus proches voisins (K-Nearest Neighborhood - KNN)}{18}{subsubsection.2.2.3.2}% | |
| 23 | -\contentsline {subsubsection}{\numberline {2.2.3.3}K-Moyennes}{19}{subsubsection.2.2.3.3}% | |
| 24 | -\contentsline {subsubsection}{\numberline {2.2.3.4}Modèle de Mélange Gaussien GMM (\textit {Gaussian Mixture Model})}{20}{subsubsection.2.2.3.4}% | |
| 25 | -\contentsline {subsubsection}{\numberline {2.2.3.5}Fuzzy-C}{20}{subsubsection.2.2.3.5}% | |
| 26 | -\contentsline {subsubsection}{\numberline {2.2.3.6}Bandit Manchot MAB (\textit {Multi-Armed Bandits})}{21}{subsubsection.2.2.3.6}% | |
| 27 | -\contentsline {subsubsection}{\numberline {2.2.3.7}Échantillonnage de Thompson TS (\textit {Thompson Sampling})}{21}{subsubsection.2.2.3.7}% | |
| 28 | -\contentsline {chapter}{\numberline {3}Environnements Informatiques d'Apprentissage Humain}{23}{chapter.3}% | |
| 29 | -\contentsline {section}{\numberline {3.1}L'Intelligence Artificielle}{23}{section.3.1}% | |
| 30 | -\contentsline {section}{\numberline {3.2}Systèmes de recommandation dans les EIAH}{24}{section.3.2}% | |
| 31 | -\contentsline {chapter}{\numberline {4}\'Etat de l'art (Raisonnement à Partir de Cas)}{29}{chapter.4}% | |
| 32 | -\contentsline {section}{\numberline {4.1}Intégration d'un réseau de neurones dans le cycle du RàPC}{29}{section.4.1}% | |
| 33 | -\contentsline {section}{\numberline {4.2}Le RàPC pour construire ou corriger un texte, pour consolider ou expliquer les résultats obtenus}{30}{section.4.2}% | |
| 34 | -\contentsline {section}{\numberline {4.3}Travaux récents sur la représentation des cas et le cycle du RàPC}{31}{section.4.3}% | |
| 35 | -\contentsline {section}{\numberline {4.4}Intégration d'autres algorithmes dans le cycle du RàPC}{33}{section.4.4}% | |
| 36 | -\contentsline {section}{\numberline {4.5}Prédiction et interpolation en utilisant le RàPC}{34}{section.4.5}% | |
| 37 | -\contentsline {section}{\numberline {4.6}Recommandation, EIAH et RàPC}{35}{section.4.6}% | |
| 38 | -\contentsline {section}{\numberline {4.7}Récapitulatif des limites des travaux présentés dans ce chapitre}{36}{section.4.7}% | |
| 39 | -\contentsline {part}{III\hspace {1em}Contributions}{39}{part.3}% | |
| 40 | -\contentsline {chapter}{\numberline {5}Architecture Globale du Système AI-VT}{41}{chapter.5}% | |
| 41 | -\contentsline {section}{\numberline {5.1}Introduction}{41}{section.5.1}% | |
| 42 | -\contentsline {section}{\numberline {5.2}Description du système AI-VT}{42}{section.5.2}% | |
| 43 | -\contentsline {section}{\numberline {5.3}Modèle d'architecture proposé}{44}{section.5.3}% | |
| 44 | -\contentsline {subsection}{\numberline {5.3.1}Correction automatique}{46}{subsection.5.3.1}% | |
| 45 | -\contentsline {subsection}{\numberline {5.3.2}Identification}{47}{subsection.5.3.2}% | |
| 46 | -\contentsline {subsection}{\numberline {5.3.3}Révision}{47}{subsection.5.3.3}% | |
| 47 | -\contentsline {subsection}{\numberline {5.3.4}Test}{48}{subsection.5.3.4}% | |
| 48 | -\contentsline {section}{\numberline {5.4}Conclusion}{49}{section.5.4}% | |
| 49 | -\contentsline {chapter}{\numberline {6}Le raisonnement à partir de cas (RàPC) pour la régression}{51}{chapter.6}% | |
| 50 | -\contentsline {section}{\numberline {6.1}Introduction}{51}{section.6.1}% | |
| 51 | -\contentsline {section}{\numberline {6.2}Apprentissage par empilement et raisonnement à partir de cas}{53}{section.6.2}% | |
| 52 | -\contentsline {subsection}{\numberline {6.2.1}Algorithme Proposé}{53}{subsection.6.2.1}% | |
| 53 | -\contentsline {subsubsection}{\numberline {6.2.1.1}Rechercher}{54}{subsubsection.6.2.1.1}% | |
| 54 | -\contentsline {subsubsection}{\numberline {6.2.1.2}Réutiliser}{55}{subsubsection.6.2.1.2}% | |
| 55 | -\contentsline {subsubsection}{\numberline {6.2.1.3}Révision}{59}{subsubsection.6.2.1.3}% | |
| 56 | -\contentsline {subsubsection}{\numberline {6.2.1.4}Mémorisation}{60}{subsubsection.6.2.1.4}% | |
| 57 | -\contentsline {subsection}{\numberline {6.2.2}Résultats}{61}{subsection.6.2.2}% | |
| 58 | -\contentsline {subsection}{\numberline {6.2.3}Discussion}{62}{subsection.6.2.3}% | |
| 59 | -\contentsline {subsection}{\numberline {6.2.4}Conclusion}{63}{subsection.6.2.4}% | |
| 60 | -\contentsline {section}{\numberline {6.3}ESCBR-SMA : Introduction des systèmes multi-agents dans ESCBR}{63}{section.6.3}% | |
| 61 | -\contentsline {subsection}{\numberline {6.3.1}Algorithme Proposé}{64}{subsection.6.3.1}% | |
| 62 | -\contentsline {subsubsection}{\numberline {6.3.1.1}Algorithmes}{65}{subsubsection.6.3.1.1}% | |
| 63 | -\contentsline {subsubsection}{\numberline {6.3.1.2}Structure des agents}{67}{subsubsection.6.3.1.2}% | |
| 64 | -\contentsline {subsubsection}{\numberline {6.3.1.3}Apprentissage des agents}{67}{subsubsection.6.3.1.3}% | |
| 65 | -\contentsline {subsubsection}{\numberline {6.3.1.4}Échanges entre les agents}{69}{subsubsection.6.3.1.4}% | |
| 66 | -\contentsline {subsection}{\numberline {6.3.2}Résultats}{69}{subsection.6.3.2}% | |
| 67 | -\contentsline {subsection}{\numberline {6.3.3}Conclusion}{72}{subsection.6.3.3}% | |
| 68 | -\contentsline {chapter}{\numberline {7}Système de Recommandation dans AI-VT}{73}{chapter.7}% | |
| 69 | -\contentsline {section}{\numberline {7.1}Introduction}{73}{section.7.1}% | |
| 70 | -\contentsline {section}{\numberline {7.2}Système de recommandation stochastique fondé sur l'échantillonnage de Thompson}{74}{section.7.2}% | |
| 71 | -\contentsline {subsection}{\numberline {7.2.1}Algorithme Proposé}{74}{subsection.7.2.1}% | |
| 72 | -\contentsline {subsection}{\numberline {7.2.2}Résultats}{76}{subsection.7.2.2}% | |
| 73 | -\contentsline {subsection}{\numberline {7.2.3}Discussion et Conclusion}{81}{subsection.7.2.3}% | |
| 74 | -\contentsline {section}{\numberline {7.3}ESCBR-SMA et échantillonnage de Thompson}{83}{section.7.3}% | |
| 75 | -\contentsline {subsection}{\numberline {7.3.1}Concepts Associés}{84}{subsection.7.3.1}% | |
| 76 | -\contentsline {subsection}{\numberline {7.3.2}Algorithme Proposé}{86}{subsection.7.3.2}% | |
| 77 | -\contentsline {subsection}{\numberline {7.3.3}Résultats et Discussion}{88}{subsection.7.3.3}% | |
| 78 | -\contentsline {subsubsection}{\numberline {7.3.3.1}Régression avec ESCBR-SMA pour l'aide à l'apprentissage humain}{88}{subsubsection.7.3.3.1}% | |
| 79 | -\contentsline {subsubsection}{\numberline {7.3.3.2}Progression des connaissances}{89}{subsubsection.7.3.3.2}% | |
| 80 | -\contentsline {subsubsection}{\numberline {7.3.3.3}Système de recommandation avec un jeu de données d'étudiants réels}{91}{subsubsection.7.3.3.3}% | |
| 81 | -\contentsline {subsubsection}{\numberline {7.3.3.4}Comparaison entre TS et BKT}{92}{subsubsection.7.3.3.4}% | |
| 82 | -\contentsline {subsubsection}{\numberline {7.3.3.5}Système de recommandation avec ESCBR-SMA}{93}{subsubsection.7.3.3.5}% | |
| 83 | -\contentsline {subsubsection}{\numberline {7.3.3.6}Progression des connaissances TS vs TS et ESCBR-SMA}{93}{subsubsection.7.3.3.6}% | |
| 84 | -\contentsline {subsection}{\numberline {7.3.4}Conclusion}{95}{subsection.7.3.4}% | |
| 85 | -\contentsline {section}{\numberline {7.4}ESCBR-SMA, échantillonnage de Thompson et processus de Hawkes}{96}{section.7.4}% | |
| 86 | -\contentsline {subsection}{\numberline {7.4.1}Algorithme Proposé}{96}{subsection.7.4.1}% | |
| 87 | -\contentsline {subsection}{\numberline {7.4.2}Résultats et Discussion}{98}{subsection.7.4.2}% | |
| 88 | -\contentsline {subsubsection}{\numberline {7.4.2.1}Système de recommandation avec un jeu de données d'étudiants réels (TS avec Hawkes)}{98}{subsubsection.7.4.2.1}% | |
| 89 | -\contentsline {subsubsection}{\numberline {7.4.2.2}Mesures de performances}{100}{subsubsection.7.4.2.2}% | |
| 90 | -\contentsline {subsection}{\numberline {7.4.3}Conclusion}{100}{subsection.7.4.3}% | |
| 91 | -\contentsline {chapter}{\numberline {8}Conclusions et Perspectives}{103}{chapter.8}% | |
| 92 | -\contentsline {section}{\numberline {8.1}Conclusion générale}{103}{section.8.1}% | |
| 93 | -\contentsline {section}{\numberline {8.2}Perspectives}{105}{section.8.2}% | |
| 94 | -\contentsline {chapter}{\numberline {9}Publications}{107}{chapter.9}% | |
| 95 | -\contentsline {section}{\numberline {9.1}Publications liées au sujet de thèse}{107}{section.9.1}% | |
| 96 | -\contentsline {section}{\numberline {9.2}Autres publications}{108}{section.9.2}% |