1,720,994 research outputs found
The Effects of Quantization on Support Vector Machines with Gaussian Kernel
We apply here a probabilistic method to predict the
effect of quantizing the parameters of a Support Vector Machine.
Thank to the particular structure of the SVM, the dependency
of the output from the quantization noise can be predicted with
good accuracy, and a simple closed–form formula can be derived,
without imposing any hard–to–verify assumptio
Unusual ill-posed waveguide discontinuity problems: a comparison of frequency domain numerical methods
Difficulties in recognizing ill-posed electromagnetic problems involving wrong effective models of media
The set of ill-posed time-harmonic electromagnetic
boundary value problems is shown to be much richer than expected
so far, when all fine details of composite media are neglected
and effective media, possibly anisotropic, are considered. This
result seems to suggest that it can be extremely difficult to identify
wrong formulations of electromagnetic boundary value problems
also because, unfortunately, numerical simulations with common
discretizations could give no help in recognizing them
Anomalous TEM modes in guiding structures filled with double negative and double positive materials
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
A fully no-sampling formulation of the linear sampling method for three-dimensional inverse electromagnetic scattering problems
We describe a very fast and automatic formulation of the linear sampling method for three-dimensional electromagnetic inverse scattering problems. This formulation is an extension of a no-sampling implementation recently proposed for two- dimensional configurations. In this 3D framework, regularization occurs independently not only of the sampling point but even of the polarization of the fundamental solution used as known term. Furthermore, a very effective automatic procedure for the selection of the optimal surface describing the scatterer is introduced
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