Investigando a combinação de técnicas de aprendizado semissupervisionado e classificação hierárquica multirrótulo

Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results

Quality of service control for rt-VBR connections in ATM networks

Nowadays, networks must support applications such as: distance learning, electronic commerce, access to Internet, Intranets and Extranets, voice over IP (Internet Protocol) and many others. These new applications, employing data, voice, and video traffic, require high bandwidth and Quality of Service (QoS). The ATM (Asynchronous Transfer Mode) technology, together with dynamic resource allocation methods, offers network connections that guarantee QoS parameters, such as minimum losses and delays. This paper presents a system that uses Network Management Functions together with dynamic resource allocation for provision of the end-to-end QoS parameters for rt-VBR connections.

Inequalities in access to education and healthcare

The burden of disease is borne by those who suffer as patients but also by society at large, including health service providers. That burden is felt most severely in parts of the world where there is no infrastructure, or foreseeable prospects of any, to change the status quo without external support. Poverty, disease and inequality pervade all the activities of daily living in low-income regions and are inextricably linked. External interventions may not be the most appropriate way to impact on this positively in all circumstances, but targeted programmes to build social capital, within and by countries, are more likely to be sustainable. By these means, basic oral healthcare, underpinned by the primary healthcare approach, can be delivered to more equitably address needs and demands. Education is fundamental to building knowledge-based economies but is often lacking in such regions even at primary and secondary level. Provision of private education at tertiary level may also introduce its own inequities. Access to distance learning and community-based practice opens opportunities and is more likely to encourage graduates to work in similar areas. Recruitment of faculty from minority groups provides role models for students from similar backgrounds but all faculty staff must be involved in supporting and mentoring students from marginalized groups to ensure their retention. The developed world has to act responsibly in two crucial areas: first, not to exacerbate the shortage of skilled educators and healthcare workers in emerging economies by recruiting their staff; second, they must offer educational opportunities at an economic rate. Governments need to lead on developing initiatives to attract, support and retain a competent workforce.

Sistema de ensino à distância sobre toxinologia: implantando um novo paradigma

The author suggests a long-distance teaching on toxinology using the following media: conventional printed book, scientific electronic journal, video library and the Internet. These new media are discussed as new alternatives for long-distance learning without the teacher.

Telefonoaudiologia: Ciência e tecnologia em saúde

Background: distance learning (DL) is becoming a higher education modality with a meaningful impact. It offers students flexibility, mobility and choices. Also it can reach a greater number of professionals and students in a more effective way, when compared to other learning modalities, without losing quality. Brazil needs to develop direct actions to DL in the fields of Speech-Language Pathology and Hearing, due to its great continental territory (8,514,215.3Km 2) and irregular distribution of professionals who work in these specific fields (i.e. this situation emphasizes the differences in quality and availability of services offered throughout the country). Heterogeneity in the quality and availability of services is also aggravated by the absence of a national strategy for continued education in order to recycle health professionals. This situation causes important differences in the knowledge and abilities of specialists from one region to the next. Aim: to present Telehealth studies in the field of Speech-Language Pathology and Hearing that were developed in the last five years. Conclusion: the analyzed data indicate that more studies are needed in this specific field. These studies should aim at improving the quality and access to services which in turn would improve prevention, diagnosis and treatment of communication disorders.

A visual tool for building synchronous generator capability curves

Synchronous generators are essential components of electric power systems. They are present both in hydro and thermal power plants, performing the function of converting mechanical into electrical energy. This paper presents a visual approach to manipulate parameters that affect operation limits of synchronous generators, using a specifically designed software. The operating characteristics of synchronous generators, for all possible modes of operation, are revised in order to link the concepts to the graphic objects. The approach matches the distance learning tool requirements and also enriches the learning process by developing student trust and understanding of the concepts involved in building synchronous machine capability curves. © 2012 IEEE.

Fuzzy community structure detection by particle competition and cooperation

Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition and cooperation among walking particles in a network to uncover overlapping nodes by generating continuous-valued outputs (soft labels), corresponding to the levels of membership from the nodes to each of the communities. Moreover, the proposed method can be applied to detect overlapping data items in a data set of general form, such as a vector-based data set, once it is transformed to a network. Usually, label propagation involves risks of error amplification. In order to avoid this problem, the proposed method offers a mechanism to identify outliers among the labeled data items, and consequently prevents error propagation from such outliers. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method. © 2012 Springer-Verlag.

A utilização de linguagem VRML na educação à distância em arte

Pós-graduação em Artes - IA

Laboratório remoto de qualidade da energia elétrica em ambiente virtual

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Implementação de um ambiente computacional para ensino à distância

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Roteiros educativos: um estudo sobre a adaptação de materiais didáticos para o contexto da TV digital interativa

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Metodologias de desenvolvimento de objetos de aprendizagem: mapeamento para construção na TV digital

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Gestão democrática nas escolas e progestão: que relação é está ?

Pós-graduação em Educação - IBRC

Atividades investigativas em grupos online: possibilidades para a educação matemática a distância

Pós-graduação em Educação Matemática - IGCE

As possíveis inter-relações das redes comunicativas - blogs - e das comunidades de prática no processo de formação de professores de Matemática

Pós-graduação em Educação Matemática - IGCE