1,720,958 research outputs found
S.E. Tran Thanh Dat : nouveau Ministre de l'Education nationale
No full text[ndlr] Reproduction de l'article biographique dédié au lettré Trần Thanh Đạt paru dans Indochine hebdomadaire illustré (1942). Né le 18 décembre 1891 au village de Tiên-nôn, canton de Mâu-tài, huyên de Phu-vang, province de Thua-thiên, de feu Tran-Nha, Quang-lôc-tu-khanh, et de feue Mme Huynh-thi-Diêu, S. E. Tran-thanh-Dat a fait de brillantes études qui l'ont conduit successivement au diplôme de l'Enseignement franco-annamite, obtenu en 1908, à l’École de Droit et d'Administration de Hanoi,..
S.E. Tran Thanh Dat : nouveau Ministre de l'Education nationale
No full text[ndlr] Reproduction de l'article biographique dédié au lettré Trần Thanh Đạt paru dans Indochine hebdomadaire illustré (1942). Né le 18 décembre 1891 au village de Tiên-nôn, canton de Mâu-tài, huyên de Phu-vang, province de Thua-thiên, de feu Tran-Nha, Quang-lôc-tu-khanh, et de feue Mme Huynh-thi-Diêu, S. E. Tran-thanh-Dat a fait de brillantes études qui l'ont conduit successivement au diplôme de l'Enseignement franco-annamite, obtenu en 1908, à l’École de Droit et d'Administration de Hanoi,..
Attention-Augmented Multilinear Networks For Time-series Classification
Full text linkTime-series analysis has long been a challenging problem and has been studied extensively over the past decades. In fact, several phenomena possess the dynamic nature of time, with related data collected and expressed in the form of time-series data. While the current development of hardware and software infrastructures provides us a tremendous amount of data to build and validate our models, the noisy and stochastic nature observed in many data modalities still prevent us from having definite solutions. This is especially true for chaotic systems such as the stock market in which the involvement of actors with different goals in the feedback loop leads to complex behaviors.
In this thesis, the author proposes a neural network layer design that incorporates the intuitive idea of bilinear mapping to multivariate time-series, as well as an attention module that enables the layer to automatically calculate and focus on important temporal instances. The contribution of the new design is two-fold. Firstly, the proposed layer is highly interpretable thanks to its ability to quantify the contribution of different instances encoding temporal information. In the post-training and inference phase, the attention quantities can be visualized to highlight the time instances of interest, opening up the opportunity for further analysis. Secondly, the new layer design requires both lower memory and fewer computations compared to the popular attention-based Long-Short-Term-Memory design, which is the state-of-the-art solution.
In order to validate the proposed architecture, the author has conducted experiments on the problem of stock mid-price movement prediction using information available in Limit Order Book. In the algorithmic trading regime, an automated forecasting system is required to be both accurate and efficient since the market operates on nanosecond resolution. Our experimental results demonstrate that the proposed architecture establishes new state-of-the-art forecasting performances in the problem of interest while running much faster than previously proposed solutions
Dropout-based Support Vectors Regularization
Full text linkIn this thesis we consider a new regularization technique that exploits the probabilistic Dropout scheme at the sample level. The new regularization approach is incorporated into the Maximum Margin Classification (MMC) framework resulting in a new variant of the Support Vector Machine classifier. We show here that the added regularizer comes with a geometrical interpretation related to the selection of support vectors. In addition, we illustrate that the new formulation is consistent with the guarantee provided in the Statistical Learning Theory. Experimental results from several classification problems show better generalization performance achieved by adding the new regularization as compared to the standard approach
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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