Auswahl der wissenschaftlichen Literatur zum Thema „Apprentissage de structures causales“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Apprentissage de structures causales" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Apprentissage de structures causales"
Seder, Ružica. „SUR CERTAINES MODALITÉS D’EXPRESSION DE LA CAUSALITÉ EN FRANÇAIS ET EN ITALIEN“. Годишњак Филозофског факултета у Новом Саду 46, Nr. 3 (11.01.2022): 55–70. http://dx.doi.org/10.19090/gff.2021.3.55-70.
Der volle Inhalt der QuellePITTS, Ruth Ann. „Pouvoir et idéologies dans le développement économique“. Sociologie et sociétés 4, Nr. 2 (30.09.2002): 233–48. http://dx.doi.org/10.7202/001566ar.
Der volle Inhalt der QuelleDiaz-Daoussi, Syrine. „Le détournement de proverbes en FLE, transgression ou création ?“ Voix Plurielles 12, Nr. 1 (06.05.2015): 298–309. http://dx.doi.org/10.26522/vp.v12i1.1192.
Der volle Inhalt der QuellePaulré, Bernard. „L’apport de l’évolutionnisme contemporain à l’analyse économique de l’innovation“. Économie appliquée 50, Nr. 3 (1997): 237–80. http://dx.doi.org/10.3406/ecoap.1997.1648.
Der volle Inhalt der QuelleZarior, Saadia. „Le Conte, un Outil au Service de l’Enseignement/Apprentissage du Français Langue Étrangère“. Traduction et Langues 15, Nr. 2 (31.12.2016): 213–24. http://dx.doi.org/10.52919/translang.v15i2.698.
Der volle Inhalt der QuelleKopeć, Joanna. „Applicabilité du modèle cognitif des images schématiques dans l’enseignement-apprentissage de l’écrit au niveau universitaire“. e-Scripta Romanica 9 (20.12.2021): 28–40. http://dx.doi.org/10.18778/2392-0718.09.03.
Der volle Inhalt der QuelleKamel, Mouna, Bernard Rothenburger und Jean-Philippe Fauconnier. „Identification de relations sémantiques portées par les structures énumératives paradigmatiques. Une approche symbolique et une approche par apprentissage supervisé“. Revue d'intelligence artificielle 28, Nr. 2-3 (30.06.2014): 271–96. http://dx.doi.org/10.3166/ria.28.269-296.
Der volle Inhalt der QuelleBellemain, Franck. „ÉLEMENTS D'INGENIERIE DE LOGICIELS EDUCATIFS, LE CAS DES MICROMONDES POUR LES MATHEMATIQUES : DIMENSION INFORMATIQUE“. Revista Paranaense de Educação Matemática 12, Nr. 28 (17.08.2023): 01–19. http://dx.doi.org/10.33871/22385800.2023.12.28.01-19.
Der volle Inhalt der QuelleBelaid, Saddek, Henry Soldano und Jean Sallantin. „Apprentissage de relations « spectres — structures » à partir d'exemples en vue de l'interprétation automatique de spectres de rmn du carbone — 13“. Journal de Chimie Physique 82 (1985): 599–605. http://dx.doi.org/10.1051/jcp/1985820599.
Der volle Inhalt der QuelleQuesnay, Paul, Marianne Poumay und Rémi Gagnayre. „Accompagner la mise en œuvre de l’approche par compétences dans les formations en santé : perspectives d’une stratégie de changement pragmatique portée par un individu tercéisateur dans un institut de formation en ostéopathie“. Pédagogie Médicale 23, Nr. 1 (2022): 49–67. http://dx.doi.org/10.1051/pmed/2022001.
Der volle Inhalt der QuelleDissertationen zum Thema "Apprentissage de structures causales"
Assaad, Charles. „Découvertes de relations causales entre séries temporelles“. Electronic Thesis or Diss., Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALM019.
Der volle Inhalt der QuelleThis thesis aims to give a broad coverage of central concepts and principles of causation and in particular the ones involved in the emerging approaches to causal discovery from time series.After reviewing concepts and algorithms, we first present a new approach that infer a summary graph of the causal system underlying the observational time series while relaxing the idealized setting of equal sampling rates and discuss the assumptions underlying its validity. The gist of our proposal lies in the introduction of the causal temporal mutual information measure that can detect the independence and the conditional independence between two time series, and in making an apparent connection between entropy and the probability raising principle that can be used for building new rules for the orientation of the direction of causation. Moreover, through the development of this base method, we propose several extensions, namely to handle hidden confounders, to infer a window causal graph given a summary graph, and to consider sequences instead of time series.Secondly, we focus on the discovery of causal relations from a statistical distribution that is not entirely faithful to the real causal graph and on distinguishing a common cause from an intermediate cause even in the absence of a time indicator. The key aspect of our answer to this problem is the reliance on the additive noise principle to infer a directed supergraph that contains the causal graph. To converge toward the causal graph, we use in a second step a new measure called the temporal causation entropy that prunes for each node of the directed supergraph, the parents that are conditionally independent of their child. Furthermore, we explore complementary extensions of our second base method that involve a pairwise strategy which reduces through multitask learning and a denoising technique, the number of functions that need to be estimated. We perform an extensive experimental comparison of the proposed algorithms on both synthetic and real datasets and demonstrate their promising practical performance: gaining in time complexity while preserving accuracy
Li, Honghao. „Interpretable biological network reconstruction from observational data“. Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5207.
Der volle Inhalt der QuelleThis thesis is focused on constraint-based methods, one of the basic types of causal structure learning algorithm. We use PC algorithm as a representative, for which we propose a simple and general modification that is applicable to any PC-derived methods. The modification ensures that all separating sets used during the skeleton reconstruction step to remove edges between conditionally independent variables remain consistent with respect to the final graph. It consists in iterating the structure learning algorithm while restricting the search of separating sets to those that are consistent with respect to the graph obtained at the end of the previous iteration. The restriction can be achieved with limited computational complexity with the help of block-cut tree decomposition of the graph skeleton. The enforcement of separating set consistency is found to increase the recall of constraint-based methods at the cost of precision, while keeping similar or better overall performance. It also improves the interpretability and explainability of the obtained graphical model. We then introduce the recently developed constraint-based method MIIC, which adopts ideas from the maximum likelihood framework to improve the robustness and overall performance of the obtained graph. We discuss the characteristics and the limitations of MIIC, and propose several modifications that emphasize the interpretability of the obtained graph and the scalability of the algorithm. In particular, we implement the iterative approach to enforce separating set consistency, and opt for a conservative rule of orientation, and exploit the orientation probability feature of MIIC to extend the edge notation in the final graph to illustrate different causal implications. The MIIC algorithm is applied to a dataset of about 400 000 breast cancer records from the SEER database, as a large-scale real-life benchmark
Soldano, Henry. „Apprentissage : Paradigmes, Structures et abstractions“. Habilitation à diriger des recherches, Université Paris-Nord - Paris XIII, 2009. http://tel.archives-ouvertes.fr/tel-00514160.
Der volle Inhalt der QuelleTommasi, Marc. „Structures arborescentes et apprentissage automatique“. Habilitation à diriger des recherches, Université Charles de Gaulle - Lille III, 2006. http://tel.archives-ouvertes.fr/tel-00117063.
Der volle Inhalt der QuelleÀ la base de ce travail se trouve la question de l'accès et de la manipulation automatique d'informations au format XML au sein d'un réseau d'applications réparties dans internet. La réalisation de ces applications est toujours du ressort de programmeurs spécialistes d'XML et reste hors de portée de l'utilisateur final. De plus, les développements récents d'internet poursuivent l'objectif d'automatiser les communications entre applications s'échangeant des flux de données XML. Le recours à des techniques d'apprentissage automatique est une réponse possible à cette situation.
Nous considèrons que les informations sont décrites dans un langage XML, et dans la perspective de ce mémoire, embarquées dans des données structurées sous forme arborescente. Les applications sont basées alors sur des opérations élémentaires que sont l'interrogation ou les requêtes dans ces documents arborescents ou encore la transformation de tels documents.
Nous abordons alors la question sous l'angle de la réalisation automatique de programmes d'annotation d'arbres, permettant de dériver des procédures de transformation ou d'exécution de requêtes. Le mémoire décrit les contributions apportées pour la manipulation et l'apprentissage d'ensembles d'arbres d'arité non bornée (comme le sont les arbres XML), et l'annotation par des méthodes de classification supervisée ou d'inférence statistique.
Ben, Hassena Anouar. „Apprentissage par analogie de structures d'arbres“. Rennes 1, 2012. http://www.theses.fr/2011REN1E007.
Der volle Inhalt der QuelleAffeldt, Séverine. „Reconstruction de réseaux fonctionnels et analyse causale en biologie des systèmes“. Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066171/document.
Der volle Inhalt der QuelleThe inference of causality is an everyday life question that spans a broad range of domains for which interventions or time-series acquisition may be impracticable if not unethical. Yet, elucidating causal relationships in real-life complex systems can be convoluted when relying solely on observational data. I report here a novel network reconstruction method, which combines constraint-based and Bayesian frameworks to reliably reconstruct networks despite inherent sampling noise in finite observational datasets. The approach is based on an information theory result tracing back the existence of colliders in graphical models to negative conditional 3-point information between observed variables. This enables to confidently ascertain structural independencies in causal graphs, based on the ranking of their most likely contributing nodes with (significantly) positive conditional 3-point information. Dispensible edges from a complete undirected graph are progressively pruned by iteratively taking off the most likely positive conditional 3-point information from the 2-point (mutual) information between each pair of nodes. The resulting skeleton is then partially directed by orienting and propagating edge directions based on the sign and magnitude of the conditional 3-point information of unshielded triples. This new approach outperforms constraint-based and Bayesian inference methods on a range of benchmark networks and provides promising predictions when applied to the reconstruction of complex biological systems, such as hematopoietic regulatory subnetworks, zebrafish neural networks, mutational pathways or the interplay of genomic properties on the evolution of vertebrates
Dinh, Quang-Thang. „Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques“. Phd thesis, Université d'Orléans, 2011. http://tel.archives-ouvertes.fr/tel-00659738.
Der volle Inhalt der QuelleTillmann, Barbara. „Perception des structures musicales : apprentissage et modélisation“. Dijon, 1999. http://www.theses.fr/1999DIJOL026.
Der volle Inhalt der QuelleWestern listeners acquire a sensitivity to the regularities of the tonal system of Western music by mere exposure to tonal musical pieces. Once acquired, this knowledge allows the construction of a mental representation of the structure of tonal musical pieces. The present research examines the perception of large musical structures, the contribution of tonal knowledge in this processing and the acquisition of this knowledge. The first part of the research investigates the perception of global and local structures in real musical pieces. Different experimental paradigms (judgments of expressivity and coherence, resolution of “musical puzzles”, target detection and recognition) provide evidence that local structures prevail over global structures. Global structures seem to have relatively little importance for the listener in pieces of 3 min. Or 20 sec in length. The second part examines the contribution of tonal knowledge to the processing of event structures in short sequences (8 to 14 chords). The harmonic priming paradigm reveals an influence of global and local structures on chord processing. Simulations with a connectionist model of tonal knowledge representation (Bharucha, 1987) suggest that the influence of the structures emerges from simple activation of tonal knowledge and its accumulation over time – without hierarchical integration in an overall structure. Connectionist models allow modeling of the capacity of the cognitive system to extract underlying regularities from the environment. In the third part, learning simulations of the tonal system are realized with the help of an unsupervised learning algorithm. The network, combined with a spreading activation mechanism, allows modeling of experimental data on the processing of event structures in terms of information accumulation rather than in terms of a hierarchical integration strictly speaking
Déguernel, Ken. „Apprentissage de structures musicales en contexte d'improvisation“. Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0011/document.
Der volle Inhalt der QuelleCurrent musical improvisation systems are able to generate unidimensional musical sequences by recombining their musical contents. However, considering several dimensions (melody, harmony...) and several temporal levels are difficult issues. In this thesis, we propose to combine probabilistic approaches with formal language theory in order to better assess the complexity of a musical discourse, both from a multidimensional and multi-level point of view in the context of improvisation where the amount of data is limited. First, we present a system able to follow the contextual logic of an improvisation modelled by a factor oracle whilst enriching its musical discourse with multidimensional knowledge represented by interpolated probabilistic models. Then, this work is extended to create another system using a belief propagation algorithm representing the interaction between several musicians, or between several dimensions, in order to generate multidimensional improvisations. Finally, we propose a system able to improvise on a temporal scenario with multi-level information modelled with a hierarchical grammar. We also propose a learning method for the automatic analysis of hierarchical temporal structures. Every system is evaluated by professional musicians and improvisers during listening sessions
Daoudi, Abderrazak. „Acquisition de contraintes par apprentissage de structures“. Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT316/document.
Der volle Inhalt der QuelleConstraint Programming is a general framework used to model and solve complex combinatorial problems.However, modeling a problem as a constraint network requires significant expertise in the field.Such level of expertise is a bottleneck to the broader uptake of the constraint technology.To alleviate this issue, several constraint acquisition systems have been proposed to assist thenon-expert user in the modeling task. Nevertheless, in these systems the user is only asked to answervery basic questions. The drawback is that when no background knowledge is provided,the user may need to answer a large number of such questions to learn all the constraints.In this thesis, we show that using the structure of the problem under consideration may improvethe acquisition process a lot. To this aim, we propose several techniques.Firstly, we introduce the concept of generalization query based on an aggregation of variables into types.Secondly, to deal with generalization queries, we propose a constraint generalization algorithm, named GENACQ, together with several strategies. Thirdly, to make the build of generalization queries totally independent of the user, we propose the algorithm MINE&ASK, which is able to learn the structure, during the constraint acquisition process, and to use the learned structure to generate generalization queries. Fourthly, toward a generic concept of query, we introduce the recommendation query based on the link prediction on the current constraint graph. Fifthly, we propose a constraint recommender algorithm, called PREDICT&ASK, that asks recommendation queries, each time the structure of the current graph has been modified. Finally, we incorporate all these new generic techniques into QUACQ algorithm leading to three boosted versions, G-QUACQ, M- QUACQ, and P-QUACQ. To evaluate all these techniques, we have made experiments on several benchmarks. The results show that the extended versions improve drastically the basic QUACQ
Bücher zum Thema "Apprentissage de structures causales"
Xanthos, Aris. Apprentissage automatique de la morphologie: Le cas des structures racine-schème. Bern: Peter Lang, 2008.
Den vollen Inhalt der Quelle findenEleb, Monique. L' apprentissage du "chez-soi": Le Groupe des maisons ouvrières, Paris, avenue Daumesnil, 1908. Marseille: Editions Parenthèses, 1994.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Sciences de l'activité physique pse4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Technologie de l'information en affaires btx4e cours préemploi. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Études informatiques ics4m cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Mathématiques de la technologie au collège mct4c cours précollégial. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Sciences snc4m cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: English eae4e cours préemploi. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Le Canada et le monde: une analyse géographique cgw4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenOntario. Esquisse de cours 12e année: Environnement et gestion des ressources cgr4e cours préemploi. Vanier, Ont: CFORP, 2002.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Apprentissage de structures causales"
Gréco, Pierre. „Chapitre XXV - Apprentissage et structures intellectuelles“. In Traité de psychologie expérimentale, 167. Presses Universitaires de France, 1991. http://dx.doi.org/10.3917/puf.frais.1991.01.0167.
Der volle Inhalt der QuellePelin, Alexandru. „2. La triade, un tout uniforme“. In Modalités et structures causales dans la philosophie des principes de Damascius, 113–96. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-113.
Der volle Inhalt der QuellePelin, Alexandru. „1. Le passage du tout d’une modalité à l’autre“. In Modalités et structures causales dans la philosophie des principes de Damascius, 47–112. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-47.
Der volle Inhalt der QuellePelin, Alexandru. „5. Bibliographie“. In Modalités et structures causales dans la philosophie des principes de Damascius, 295–305. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-295.
Der volle Inhalt der QuellePelin, Alexandru. „3. La médiation du non-être a l’être“. In Modalités et structures causales dans la philosophie des principes de Damascius, 197–276. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-197.
Der volle Inhalt der QuellePelin, Alexandru. „Titelei/Inhaltsverzeichnis“. In Modalités et structures causales dans la philosophie des principes de Damascius, 1–14. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-1.
Der volle Inhalt der QuellePelin, Alexandru. „Introduction“. In Modalités et structures causales dans la philosophie des principes de Damascius, 19–46. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-19.
Der volle Inhalt der QuellePelin, Alexandru. „Présentation (Gerd Van Riel)“. In Modalités et structures causales dans la philosophie des principes de Damascius, 15–18. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-15.
Der volle Inhalt der QuellePelin, Alexandru. „4. Conclusions et perspectives philosophiques“. In Modalités et structures causales dans la philosophie des principes de Damascius, 277–94. Academia – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783896659064-277.
Der volle Inhalt der QuelleVAUTIER, V., J. F. RINGEVAL, A. DELAHAYE, C. GORIN und A. MONTCRIOL. „Apprentissage du débriefing médico-psychologique et simulation“. In Médecine et Armées Vol. 44 No.3, 243–45. Editions des archives contemporaines, 2016. http://dx.doi.org/10.17184/eac.6813.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Apprentissage de structures causales"
Brinkerhoff, Derick W., Sarah Frazer und Lisa McGregor. S'adapter pour apprendre et apprendre pour s'adapter : conseils pratiques tirés de projets de développement internationaux. RTI Press, Januar 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.fr.
Der volle Inhalt der Quelle