2,731 research outputs found
Dynamics and zeta functions on conformally compact manifolds
In this note, we study the dynamics and associated zeta functions of
conformally compact manifolds with variable negative sectional curvatures. We
begin with a discussion of a larger class of manifolds known as convex
co-compact manifolds with variable negative curvature. Applying results from
dynamics on these spaces, we obtain optimal meromorphic extensions of weighted
dynamical zeta functions and asymptotic counting estimates for the number of
weighted closed geodesics. A meromorphic extension of the standard dynamical
zeta function and the prime orbit theorem follow as corollaries. Finally, we
investigate interactions between the dynamics and spectral theory of these
spaces
Traduciendo prensa y para la prensa
El motivo de la presente conferencia no es otro que hacer una breve reflexiĂłn sobre la práctica lingĂĽĂstica y profesional de la traducciĂłn periodĂstica, de acuerdo con la experiencia profesional del ponente en este ámbito, en concreto, en el campo de la traducciĂłn español-árabe-español.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tec
e-Portfolio: Java technology for financial applications on the Internet
This is an electronic version of the paper presented at the WebNet 2001 World Conference on the WWW and Internet, held in Orlando on 2001The rapid introduction of the Internet technologies in the financial sector is
leading to profound changes affecting both financial service companies and private
investors. Web-based technologies have transfigured our concept of information
availability, and are transforming the way customers and service providers communicate
and relate to each other as well, posing new organizational and computational challenges. A
new generation of financial applications is needed that a) help users in accessing the right
information in an understandable form, despite the size and complexity of information
sources, b) are readily available from handy standard connection points, c) do not impose
heavy or too restrictive platform requirements on the user, and d) assure transparent, reliable
and secure transactions for the client. In this paper we describe e-Portfolio, a Java-based
financial application that gives assistance in the choice of an optimal investment strategy
according to an investor's profile. e-Portfolio’s highly portable, interoperable, and reusable
components result in a very flexible architecture that can be accommodated to different
business settings and requirements
Non-linear Causal Inference using Gaussianity Measures
We provide theoretical and empirical evidence for a type of asymmetry between
causes and effects that is present when these are related via linear models
contaminated with additive non-Gaussian noise. Assuming that the causes and the
effects have the same distribution, we show that the distribution of the
residuals of a linear fit in the anti-causal direction is closer to a Gaussian
than the distribution of the residuals in the causal direction. This
Gaussianization effect is characterized by reduction of the magnitude of the
high-order cumulants and by an increment of the differential entropy of the
residuals. The problem of non-linear causal inference is addressed by
performing an embedding in an expanded feature space, in which the relation
between causes and effects can be assumed to be linear. The effectiveness of a
method to discriminate between causes and effects based on this type of
asymmetry is illustrated in a variety of experiments using different measures
of Gaussianity. The proposed method is shown to be competitive with
state-of-the-art techniques for causal inference.Comment: 35 pages, 9 figure
BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala
We present a method to reconstruct networks of socialbots given minimal
input. Then we use Kernel Density Estimates of Botometer scores from 47,000
social networking accounts to find clusters of automated accounts, discovering
over 5,000 socialbots. This statistical and data driven approach allows for
inference of thresholds for socialbot detection, as illustrated in a case study
we present from Guatemala.Comment: 7 pages, 4 figure
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