16 research outputs found
MDL Based Model Selection for Relevance Vector Regression
No full textRelevance Vector regression is a form of Support Vector regression, recently proposed by M.E.Tipping, which allows a sparse representation of the data. The Bayesian learning algorithm proposed by the author leaves the partially open question of how to automatically choose the optimal model. In this paper we describe a model selection criterion inspired by the Minimum Description Length (MDL) principle. We show that our proposal is effective in finding the optimal kernel parameter both on an artificial dataset and a real-world application.Artificial Neural Networks --- ICANN 2002info:eu-repo/semantics/publishe
Transnationalism and belonging : The case of Moroccan entrepreneurs in Amsterdam and Milan
No full textResearch on migrant transnationalism has mostly focused on particular transnational activities, their salience in various contexts and populations, and their relationship with migrant incorporation. Less attention has been paid to the interplay between the different domains of transnationalism (economic, political, and socio-relational) and to the way in which they affect migrants’ identity. This study investigates whether and how one domain of migrant transnationalism—transnational entrepreneurship—influences migrants’ (1) transnational involvement in other domains and (2) sense of belonging to different social groups and places. Focusing on the case of Moroccan entrepreneurs in Amsterdam, the Netherlands, and Milan, Italy, we compare transnational migrant entrepreneurs, whose business is based on cross-border relationships and exchanges, with domestic migrant entrepreneurs, who are active exclusively in the destination country. Combining quantitative and qualitative data, we find that transnational entrepreneurs differ from domestic entrepreneurs mostly in terms of socio-relational transnational involvement. On the other hand, transnational entrepreneurship does not substantially change transnational practices in other domains or sense of belonging among Moroccan migrants
3D photogrammetric surveys on coral reefs in the Maldives.
No full textThe global increase in seawater temperature is causing irreparable damages to coral reefs all over the world. Frequency of coral bleaching episodes and mass mortality is increasing and coral reefs have not enough time to recover after these impacts. The present study concerns this phenomenon in the context of the Maldives. In this scenario, monitoring activities are very important to check the health of coral reefs, and the adoption of specific parameters such as reef rugosity and accretion of corals provides important measures of the ability of reefs to recover after bleaching. Moreover, the use of photogrammetry allows speeding up the on-site measurements, enlarging the scale and the reliability. The input data are the images traditionally taken by operators for visual analysis, paying attention to the achievement of photogrammetric principles
Algorithm Survival Analysis
No full textAlgorithm selection is typically based on models of algorithm performance,learned during a separate offline training sequence, which can be prohibitively expensive. In recent work, we adopted an online approach, in which models of the runtime distributions of the available algorithms are iteratively updated and used to guide the allocation of computational resources, while solving a sequence of problem instances. The models are estimated using survival analysis techniques, which allow us to reduce computation time, censoring the runtimes of the slower algorithms. Here, we review the statistical aspects of our online selection method, discussing the bias induced in the runtime distributions (RTD) models by the competition of different algorithms on the same problem instances. © 2010 Springer-Verlag Berlin Heidelberg.SCOPUS: ch.binfo:eu-repo/semantics/publishe
Knowledge, attitudes, and practices about COVID-19 in Argentina: A cross-sectional study
No full textNuestro objetivo fue evidenciar el nivel de conocimientos, actitudes y prácticas frente al COVID-19. Fueron encuestados 3774 individuos mayores de 16 años entre el 18/09/20 y el 16/10/20. El 80% residía en la ciudad de Buenos Aires o la Provincia de Buenos Aires. El 58% había completado estudio terciario. El 72% tenía actividad laboral independiente o en relación de dependencia pública o privada. Utilizaban el sistema de salud prepago el 51%, obra social laboral el 34%, y sistema público de salud cerca del 10%. De acuerdo a las variables socio-demográficas analizadas, la mayoría de la población fue representativa de la clase media. Del total de encuestados, el 7% tuvo diagnóstico de COVID-19. Observamos un alto nivel de conocimiento de la enfermedad, con 80 a 90% de respuestas correctas. En relación a las medidas adoptadas por las autoridades, los juicios emitidos variaron entre “correctas”, “insuficientes”, “perjudiciales”, “innecesarias”, etc. El 44% se sentía protegido por el sistema de salud. En cuanto a los referentes válidos para transmitir información, la respuesta preponderante fue el personal médico. En cuanto al momento deconsultar por síntomas, un porcentaje importante (28%) lo haría en forma tardía. Observamos un alto grado de cumplimiento de las medidas de protección, a excepción del ítem “Asistencia a reuniones” (50%). Los resultados de estos estudios contribuyen a establecer estrategias comunicacionales para la prevención y el control de la enfermedad y de ese modo enfrentar de forma más eficiente eventuales rebrotes de la enfermedad.Our objective was to assess levels of knowledge, attitudes, and practices against COVID-19. A total of 3774 persons were surveyed between September 18 and October 16, 2020. Eighty% resided in Buenos Aires City or Buenos Aires Province: 58% had completed tertiary education; 72% worked either independently or as employees in the public or the private sector; 51% used a prepaid health care plan, 34% were covered by a trade union-based health system, and near 10% used the public health services. According to the socio-demographic variables analyzed, the population studied was representative of the middle class. A total of 7% had been diagnosed with COVID-19. There was a high level of knowledge about the disease, judging by the high proportion of correct answers (80-90%). Regarding the measures taken by the government, the answers varied widely (“correct”, “inadequate”, “harmful”, “unnecessary”, etc.). The medical staff was the preferred source of information; 44% of respondents felt protected by their health system; 28% would only seek healthcare when feeling very sick. There was a high degree of compliance with most protection measures, except for attendance to social events in poorly ventilated spaces (50%). The results of these studies contribute to establishing communication strategies for the prevention and control of COVID-19 and thus deal more efficiently with eventual outbreaks of the disease.Fil: Beltran, Marcelo Javier. Sociedad Argentina Interdiciplinaria de Sida; ArgentinaFil: Basombrío, Adriana M.. Sociedad Argentina Interdiciplinaria de Sida; ArgentinaFil: Gagliolo, Agostina Aixa. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Ciencias Antropológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Leroux, Claudia I.. Sociedad Argentina Interdiciplinaria de Sida; ArgentinaFil: Masso, Marcela Fabiana. Sociedad Argentina Interdiciplinaria de Sida; ArgentinaFil: Quarracino, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tablado Rodríguez, Maria Sol. Sociedad Argentina Interdiciplinaria de Sida; ArgentinaFil: Cesanelli, Violette. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Ciencias Antropológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rodriguez, Enrique. Sociedad Argentina Interdiciplinaria de Sida; Argentin
Show me your friends, I’ll tell you your emotions: Emotional fit of immigrant-origin minority youth in cross-cultural friendship networks.
No full textThe typical emotional responses to certain types of situations differ across cultures. Being reprimanded by your teacher in front of the class may be cause for anger and indignation among pupils in one cultural context, but for anger, shame, and possibly respect for the teacher among pupils in another cultural context. The consequence for immigrant-origin minorities is that they may not fit the emotions of the majority culture. Previous research has found that minorities who have majority contact have higher emotional fit with the majority culture. In the current study, we suggest that friendships with majority peers are particularly important to minorities’ emotional fit. Students (945 minority and 1256 majority) from a representative sample of Belgian middle schools completed a sociometric questionnaire on their classroom friendships and rated their emotional experiences in two situations. Multilevel models yielded higher levels of emotional fit for minority youth with many (vs. few) majority friends as well as for minorities whose majority friends are connected (vs. less connected) to each other, or who are well-connected in the majority peer network. Having majority friends predicted emotional fit over and above majority contact in general.sponsorship: This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 834587). The results only reflect the authors' views and the ERC Executive Agency is not responsible for any use that may be made of the information it contains. (H2020 European Research Council|834587)status: Published onlin
