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Rio de Janeiro, Brazil

Revoredo K.,UNIRIO | Ochoa-Luna J.E.,University of Sao Paulo | Cozman F.G.,University of Sao Paulo
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

This paper investigates learning methods where the target language is the recently proposed probabilistic description logic cr . We start with an inductive logic programming algorithm that learns logical constructs; we then develop an algorithm that learns probabilistic constructs by searching for conditioning concepts, using examples given as interpretations. Issues on learning from entailments are also examined, and practical examples are discussed. © 2010 Springer-Verlag. Source

Ciarlini A.E.M.,UNIRIO | Casanova M.A.,Pontifical Catholic University of Rio de Janeiro | Furtado A.L.,Pontifical Catholic University of Rio de Janeiro | Veloso P.A.S.,Federal University of Rio de Janeiro
Journal of Intelligent Information Systems

In this paper, we introduce a formalism to specify interactive storytelling genres in the context of digital entertainment, adopting an information systems approach. We view a genre as a set of plots, where a plot is a partially ordered sequence of events, taken from a fixed repertoire. In general, the specification of a genre should allow to determine whether a plot is a legitimate representative of the genre, and also to generate all plots belonging to the genre. The formalism divides the specification of a genre into static, dynamic and behavioral schemas, that reflect a plan recognition/plan generation paradigm. It leads to executable specifications, supported by LOGTELL, a prototype tool that helps users generate, modify and reuse plots that follow a genre specification. To illustrate the use of the formalism, we specify a simple Swords & Dragons genre and show plots generated by the tool. © 2009 Springer Science+Business Media, LLC. Source

Ochoa-Luna J.E.,University of Sao Paulo | Revoredo K.,UNIRIO | Cozman F.G.,University of Sao Paulo
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Description logics have become a prominent paradigm in knowledge representation (particularly for the Semantic Web), but they typically do not include explicit representation of uncertainty. In this paper, we propose a framework for automatically learning a Probabilistic Description Logic from data. We argue that one must learn both concept definitions and probabilistic assignments. We also propose algorithms that do so and evaluate these algorithms on real data. © 2011 Springer-Verlag. Source

Turchetto-Zolet A.C.,Federal University of Rio Grande do Sul | Pinheiro F.,Institute Botanica | Salgueiro F.,UNIRIO | Palma-Silva C.,Institute Botanica
Molecular Ecology

The South American continent is composed of several biogeographical regions harbouring the highest biodiversity on the globe, encompassing five of the world's biodiversity 'hot spots'. Nonetheless, the patterns and processes responsible for shaping its astonishing species diversity are largely unknown. Here, we present a review of current South American phylogeographical knowledge based on published articles on this topic. An appraisal of the literature reveals emerging phylogeographical patterns in the biota of South America. The striking phylogeographical divergence observed among organism lineages in South American studies is suggestive of high levels of undocumented species diversity. The interplay between Pleistocene climatic oscillations and Pliocene/Miocene orogenic events has contributed to shaping the current diversity and distribution of modern lineages in both the tropical and temperate regions of South America. Although older divergence times were observed for a range of species, most herpetofauna underwent an intraspecific lineage split much earlier than other organisms. The geographical ranges of species associated with forest habitats were reduced mainly during glacial cycles, whereas species associated with open vegetation domains have shown variable responses to climatic oscillations. The results suggest a highly complex mosaic of phylogeographical patterns in South America. We suggest future research directions to promote a better understanding of the origin and maintenance of the South American biota. © 2012 Blackwell Publishing Ltd. Source

Signorini D.J.H.P.,Rio de Janeiro State Federal University | Monteiro M.C.M.,Hospital Universitario Gaffree e Guinle | de Andrade M.F.C.,Federal University of Rio de Janeiro | Signorini D.H.,Estacio de Sa University | Eyer-Silva W.A.,UNIRIO
Revista da Associacao Medica Brasileira

Objective: Prevalence of chronic complications of HIV infection is increasing and early recognition and treatment of the components of metabolic syndrome (MS) are essential to prevent cardiovascular and metabolic complications. Considering this, we performed a cross-sectional study on the prevalence and risk-factors for MS among HIV-infected subjects. Methods: A total of 819 patients followed at a large outpatient HIV unit were assessed by an interviewer-administered questionnaire that recorded several demographic, epidemiologic, clinical, laboratory, and social variables. Lipodystrophy diagnosis relied on agreement between patient's self-report and physician's observation of altered body-fat deposits. The presence of three or more of the following characteristics identified MS: increased waist circumference, hypertriglyceridemia, low HDL cholesterol level, hypertension, and hyperglycemia. We used logistic regression analyses to study variables independently associated with MS. Results: The prevalence of MS was 20.6% and that of lipodystrophy was 38.5%. 61 (36.1%) out of 169 patients with MS had also lipodystrophy. Patients with metabolic syndrome were significantly more likely to be older (OR = 1.08), had higher CD4 counts (OR = 1.001), had an increased body mass index (OR = 1.27) and had longer exposure to antiretroviral therapy (OR = 1.01) than those without metabolic syndrome. Conclusion: Both traditional risk factors for cardiovascular disease and factors associated with HIV infection itself, such as an increased CD4 cell count and a longer exposure to antiretroviral therapy, seem to be associated with metabolic syndrome in the present study population. © 2012 Elsevier Editora Ltda. Source

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