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Artykuły w czasopismach na temat "Topique-Modèles"
Met, Philippe. "Modélisations de la Topique chez Francis Ponge". Lectures 36, nr 1 (15.03.2006): 75–91. http://dx.doi.org/10.7202/036171ar.
Pełny tekst źródłaFerlampin-Acher, Christine. "Perceforest : de l’entremets et de l’entrelardement au pastiche, ou l’art de cuisiner les textes". Études françaises 46, nr 3 (21.12.2010): 79–97. http://dx.doi.org/10.7202/045119ar.
Pełny tekst źródłaShakshuki, Ayah, Pollen Yeung i Remigius U. Agu. "Compounded Topical Amitriptyline for Neuropathic Pain: In Vitro Release from Compounding Bases and Potential Correlation with Clinical Efficacy". Canadian Journal of Hospital Pharmacy 73, nr 2 (28.04.2020). http://dx.doi.org/10.4212/cjhp.v73i2.2979.
Pełny tekst źródłaRozprawy doktorskie na temat "Topique-Modèles"
Ravier, Benjamin. "Voir et concevoir : les théâtres de machines (XVIe-XVIIIe siècle)". Thesis, Paris 1, 2013. http://www.theses.fr/2013PA010643/document.
Pełny tekst źródłaTheaters of machines »books showing sets of windlasses, cranes, pumps and mills-- have been underestimated to a large extent by historiography. Yet, they have influenced the conception of machines up to the 19th century. This thesis analyses the evolution of this category of books and its reception in various European countries between the 16th and 18th centuries. This work presents the development of a European conception of machines that is both technical as well as social. Artifices of human ingenuity, machines generate fantasies, fears and hopes, prompting the authors to develop a new course of teaching. At the heart of these issues lies a tension between the complexity of the machinery and an incomplete mechanical knowledge, between materiality and theory, between presenting and reporting, between seeing and designing the machine within its materiality and challenges
Bettache, Nayel. "Matrix-valued Time Series in High Dimension". Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAG002.
Pełny tekst źródłaThe objective of this thesis is to model matrix-valued time series in a high-dimensional framework. To this end, the entire study is presented in a non-asymptotic framework. We first provide a test procedure capable of distinguishing whether the covariance matrix of centered random vectors with centered stationary distribution is equal to the identity or has a sparse Toeplitz structure. Secondly, we propose an extension of low-rank matrix linear regression to a regression model with two matrix-parameters which create correlations between the rows and he columns of the output random matrix. Finally, we introduce and estimate a dynamic topic model where the expected value of the observations is factorizes into a static matrix and a time-dependent matrix following a simplex-valued auto-regressive process of order one