Search results for "relevance"
showing 10 items of 500 documents
INTERVENCIÓN PSICOSOCIAL EN ESPACIOS DE ALTA DIVERSIDAD EXPERIENCIA INTERCULTURAL Y BUENA PRAXIS
2021
espanolPsychosocial interventional approaches in reducing intergroup biases can be divided into two areas: intragroup and intergroup. The former includes work with counterstereotypespecimens (Plant et al., 2009), strategies based on cognitive dissonance (Festinger, 1957, cited in Rodriguez, 2019) and the promotion of empathy (Galinsky & Moskowitz, 2000; Stephan & Finlay, 1999). Intergroup strategies are those based on the contact hypothesis (Allport, 1954, cited in Rodriguez, 2019) and those based on the theory of social categorization or sociocognitive strategies (Tajfel & Turner, 1979). The research was ascribed to the interventional research model proposed by Rothman and Thomas (1994), c…
Statistical guidelines for quality control of next-generation sequencing techniques.
2021
Condition-specific statistical guidelines and accurate classification trees for quality control of functional genomics NGS files (RNA-seq, ChIP-seq and DNase-seq) have been generated using thousands of reference files from the ENCODE project and made available to the community.
News Selection Within Customer Magazines
2017
Customer magazines blur the boundaries between journalistic reporting and organizational information. On the one hand, customer magazines are intended to communicate the interests, brands, products, and services of an organization. On the other hand, their topics, style, and layout resemble those of journalistic publications, from which readers expect independent and objective reporting. While customer magazines are distributed in high numbers throughout different industries and play an increasingly important role in the media landscape, they have hardly been the focus of researchers to date. It is therefore quite unclear how editorial decisions are made within these publications. This stud…
Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes
2013
The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by understanding modality-related challenges. To do so, a detailed analysis of the results of the experiments carried out is presented and the comparison between these results shows that the improvement using modality class query expansion is query-dependent.
The current status of research on Kant´s Transcendental Deduction
2018
In this paper I provide an overview of the latest research on Kant’s Transcendental Deduction, from the last 20 years or so, including a non-exhaustive bibliography. I also reflect on the question why in that period there has up until now been so little recent book-length work dedicated to the Deduction, on so-called ‘analytical’ approaches to reading Kant and the Deduction in particular, and on the related issue of the relevance of both evaluative and historical/hermeneutical interpretations of the Deduction. In the latter part of the essay, I consider the most important desiderata for systematic-interpretatively guided research into the Deduction.
An Integrated Architecture for Surveillance and Monitoring in an Archaeological Site
2005
This paper describes an on-going work aimed at designing and deploying a system for the surveillance and monitoring of an archaeological site, namely the "Valley of the Temples" in Agrigento, Italy. Given the relevance of the site from an artistical and historical point of view, it is important to protect the monuments from malicious or simply incautious behavior; however, the vastity of the area to be monitored and the vague definition of its boundaries make it unpractical to provide extensive coverage through traditional sensors or similar devices. We describe the design of an architecture for the surveillance of the site and for the monitoring of the visitors' behavior consisting in an i…
The influence of Elfreda Chatman's theories: a citation context analysis
2018
The range of theoretical frameworks currently being used by researchers into information behaviour is abundant and diverse. We need to examine thoroughly the contribution of theories and models to further research, as this would help to improve future investigations in the field. This paper adopts this approach, by thoroughly examining the influence that Elfreda Chatman's three middle-range theories have had on subsequent research. A citation context analysis was carried out on the basis of those received by Information poverty theory, life in the round theory and normative behaviour theory. Analysis covered the year of publication, the type of work and the subject-matter of the citing docu…
Non-linear System Identification with Composite Relevance Vector Machines
2007
Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally addressed by stacking the input and/or output regressors and then performing standard RVM regression. This letter introduces a full family of composite kernels in order to integrate the input and output information in the mapping function efficiently and hence generalize the standard approach. An improved trade-off between accuracy and sparsity is obtained in several benchmark problems. Also, the RVM yields confidence intervals for the predictions, and it is less sensitive to free parameter selection. Teoría de la Señal y Comunicaciones
Corporate Governance: Stakeholder Value Versus Shareholder Value
2001
Unsatisfied with the dominating shareholders point of view, that appears to be too limited to build a relevant theory of corporate governance, we propose an enlarged definition of the value which may be called, the stakeholder value. This definition and its associated measure are more suitable for the stakeholder approach to the firm and more relevant to understand the value creation and sharing mechanisms.
Discrete Time Signal Processing Framework with Support Vector Machines
2007
Digital signal processing (DSP) of time series using SVM has been addressed in the literature with a straightforward application of the SVM kernel regression, but the assumption of independently distributed samples in regression models is not fulfilled by a time-series problem. Therefore, a new branch of SVM algorithms has to be developed for the advantageous application of SVM concepts when we process data with underlying time-series structure. In this chapter, we summarize our past, present, and future proposal for the SVM-DSP frame-work, which consists of several principles for creating linear and nonlinear SVM algorithms devoted to DSP problems. First, the statement of linear signal mod…