478,544 research outputs found
Exhibition review in The Journal of Modern Craft
Review of extensive exhibition of contemporary French ceramic art entitled
“Circuit Céramique aux Arts Décoratifs: La Scène Française Contemporaine”
held at Musée des Arts Décoratifs, Paris, in 2010, on the occasion of the 44th assembly of the International Academy of Ceramics
Une analyse des revues indexées dans le KLAPP (Bibliographie d'histoire littéraire française)
Résultats préliminaires d'un projet de comparaison des deux plus importants répertoires bibliographiques spécialisés en littératures de langue française (accessibles sous forme de bases de données bibliographiques en ligne depuis 2014) : la « Bibliographie de la littérature française » (« Bibliographie der französischen Literaturwissenschaft » ou « KLAPP »), publiée chez Klostermann depuis 1956, et la « Bibliographie de la littérature française » (ou « Rancoeur », précédemment intitulée « Bibliographie de la littérature française), publiée depuis 1953 chez Armand Colin et aux Presses universitaires de France (sous forme de hors-série annuel de la « Revue d'histoire littéraire de la France ») puis chez Classiques Garnier
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
Mixture of Experts (MoE) are successful models for modeling heterogeneous
data in many statistical learning problems including regression, clustering and
classification. Generally fitted by maximum likelihood estimation via the
well-known EM algorithm, their application to high-dimensional problems is
still therefore challenging. We consider the problem of fitting and feature
selection in MoE models, and propose a regularized maximum likelihood
estimation approach that encourages sparse solutions for heterogeneous
regression data models with potentially high-dimensional predictors. Unlike
state-of-the art regularized MLE for MoE, the proposed modelings do not require
an approximate of the penalty function. We develop two hybrid EM algorithms: an
Expectation-Majorization-Maximization (EM/MM) algorithm, and an EM algorithm
with coordinate ascent algorithm. The proposed algorithms allow to
automatically obtaining sparse solutions without thresholding, and avoid matrix
inversion by allowing univariate parameter updates. An experimental study shows
the good performance of the algorithms in terms of recovering the actual sparse
solutions, parameter estimation, and clustering of heterogeneous regression
data
Defining a robust biological prior from Pathway Analysis to drive Network Inference
Inferring genetic networks from gene expression data is one of the most
challenging work in the post-genomic era, partly due to the vast space of
possible networks and the relatively small amount of data available. In this
field, Gaussian Graphical Model (GGM) provides a convenient framework for the
discovery of biological networks. In this paper, we propose an original
approach for inferring gene regulation networks using a robust biological prior
on their structure in order to limit the set of candidate networks.
Pathways, that represent biological knowledge on the regulatory networks,
will be used as an informative prior knowledge to drive Network Inference. This
approach is based on the selection of a relevant set of genes, called the
"molecular signature", associated with a condition of interest (for instance,
the genes involved in disease development). In this context, differential
expression analysis is a well established strategy. However outcome signatures
are often not consistent and show little overlap between studies. Thus, we will
dedicate the first part of our work to the improvement of the standard process
of biomarker identification to guarantee the robustness and reproducibility of
the molecular signature.
Our approach enables to compare the networks inferred between two conditions
of interest (for instance case and control networks) and help along the
biological interpretation of results. Thus it allows to identify differential
regulations that occur in these conditions. We illustrate the proposed approach
by applying our method to a study of breast cancer's response to treatment
Landscaping Hispaniola Moreau de Saint-MĂ©ry's border politics
This article focuses on Médéric Louis Élie Moreau de Saint-Méry's <i>Description Topographique et Politique de la partie espagnole de l'Isle Saint-Domingue </i>(1796) and his <i>Description Topographique, Physique, Civile, Politique et Historique de la partie française de l'Isle Saint-Domingue </i> (1797). The Descriptions were both written before the beginning of the French Revolution and the 1791 slave revolt in Saint Domingue but were published when the colonial frontier had been abolished (at least de jure if not de facto) by the 1795 Peace of Basle. Overall, the article argues that the two Descriptions are ultimately committed to the (re)inscription of the colonial frontier but intriguingly oscillate between its erasure and its reinforcement. It begins by focusing on Saint-Méry's territorial projections and appropriative landscaping of the Spanish colony; it highlights the important role played by the border in the racial politics of Hispaniola and then revisits Saint-Mery's border politics on the island in the light of the author's conviction that France should reannex Louisiana, given to Spain in 1762
Re-imagining French lexicography: The dictionnaire vivant de la langue française
The Dictionnaire vivant de la langue française (DVLF), developed by The ARTFL
Project at the University of Chicago, represents an experimental, interactive, and
community-based approach to French lexicography. The DVLF enables broad
public access to a wide variety of linguistic tools and resources, with the goal of
changing user interaction with dictionaries and providing better descriptions of
emergent word use. In this article we describe the history of the DVLF and provide
a survey of similar community-oriented electronic dictionaries. We then proceed
to a presentation of the dictionary’s many features, including the variety of
its definitions and mechanisms for user interaction. The article concludes with
a discussion of ARTFL’s plans for the future developement of the DVLF
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