Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift

Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not be stable over time. However, most learning algorithms produced so far are based on the assumption that data comes from a fixed distribution, so they are not suitable to handle concept drifts. Moreover, some concept drifts applications requires fast response, which means an algorithm must always be (re) trained with the latest available data. But the process of labeling data is usually expensive and/or time consuming when compared to unlabeled data acquisition, thus only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are also based on the assumption that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenge in machine learning. Recently, a particle competition and cooperation approach was used to realize graph-based semi-supervised learning from static data. In this paper, we extend that approach to handle data streams and concept drift. The result is a passive algorithm using a single classifier, which naturally adapts to concept changes, without any explicit drift detection mechanism. Its built-in mechanisms provide a natural way of learning from new data, gradually forgetting older knowledge as older labeled data items became less influent on the classification of newer data items. Some computer simulation are presented, showing the effectiveness of the proposed method.

Redes neurais aplicadas em processos de usinagem da madeira

Pós-graduação em Engenharia Mecânica - FEG

Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data

Concept drift, which refers to non stationary learning problems over time, has increasing importance in machine learning and data mining. Many concept drift applications require fast response, which means an algorithm must always be (re)trained with the latest available data. But the process of data labeling is usually expensive and/or time consuming when compared to acquisition of unlabeled data, thus usually only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are based on assumptions that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenging task in machine learning. Recently, a particle competition and cooperation approach has been developed to realize graph-based semi-supervised learning from static data. We have extend that approach to handle data streams and concept drift. The result is a passive algorithm which uses a single classifier approach, naturally adapted to concept changes without any explicit drift detection mechanism. It has built-in mechanisms that provide a natural way of learning from new data, gradually "forgetting" older knowledge as older data items are no longer useful for the classification of newer data items. The proposed algorithm is applied to the KDD Cup 1999 Data of network intrusion, showing its effectiveness.

Oral health education in schools: promoting health agents

Purpose: The aim of this study was to verify the influence of preschool children participating in an oral health education programme on daily health practices of their families, through parent's perception. Methods: A sample of 119 parents of 5- to 6-year-old preschool children were selected. Data were collected using a structured open-closed questionnaire, self-administered. The questions focused on parents' knowledge about activities of oral health education conducted in school, the importance given by them to these activities, learning from their offspring and the presence of habit change at home. Results: In total, 63 (52.9%) parents agreed to participate. Ninety-eight per cent knew about educative and preventive activities developed at school and all of them affirmed that these activities were important, mainly because of knowledge, motivation and improvement in children's health. Ninety and half per cent of parents reported that they learned something about oral health from their children and, among these, almost half (47.8%) cited toothbrushing as the indicator for better learning. Besides this, 87.3% of participants revealed the change in oral health habits of their family members. Conclusion: Preschool children were able to transmit knowledge acquired at school to their parents that included change in oral health routine of their family members.

Aircraft accident in Brazil: Boeing vs. Legacy?

Air accidents represent a small proportion of the flights registered worldwide. Airplane collisions in the air are rare. In September of 2006, a Boeing 737-800 collided in midair with a Legacy Jet. It was the largest accident registered in the history of Brazilian aviation until that time. The present study explores aspects of press coverage of the accident. Data and information reported in the media about the accident from September 2006 to August 2007 were collected and discussed. Media coverage called attention to two unusual aspects: politicisation of the discussion, culminating in the opening of congressional inquiries, and equally the concomitance of police investigations interfering in the work of agencies responsible for the official accident investigation. Emphasis on assigning guilt and establishing penalties may close the windows of opportunity an accident had opened for discussions on the improvement of air safety. In Brazil, political imperatives and organizational pressures have interfered and the possibilities of organizational learning from the accident have been drastically curtailed.

A case study of concurrent engineering application on the development of parts for the white goods industry in Brazil

This classical way to manage product development processes for massive production seems to be changing: high pressure for cost reduction, higher quality standards, markets reaching for innovation lead to the necessity of new tools for development control. Into this, and learning from the automotive and aerospace industries factories from other segments are starting to understand and apply manufacturing and assembly oriented projects to ease the task of generate goods and from this obtain at least a part of the expected results. This paper is intended to demonstrate the applicability of the concepts of Concurrent Engineering and DFM/DFA (Design for Manufacturing and Assembly) in the development of products and parts for the White Goods industry in Brazil (major appliances as refrigerators, cookers and washing machines), showing one case concerning the development and releasing of a component. Finally is demonstrated in a short term how was reached a solution that could provide cost savings and reduction on the time to delivery using those techniques.

Olhares que pensam e sentem: arte e mediação cultural na aula de geometria

Pós-graduação em Artes - IA

A formação continuada de professores do ensino superior para a atuação docente on-line: desafios e possibilidades

Pós-graduação em Educação - FCT

Mediação do processo ensino-aprendizagem com o jogo de empresas mercado virtual: uma pesquisa de opinião

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Gestão do conhecimento em bibliotecas universitárias: análise de experiências no Brasil e em Portugal

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Educação permanente na estratégia saúde da familia: uma proposta a ser construída

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Bom de boca: educação e cultura na cozinha da TV digital

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

Produção de biodigestor e horta orgânica como elemento integrador entre escola e comunidade

Pós-graduação em Docência para a Educação Básica - FC

Modelo de Resposta à Intervenção (RTI) para desenvolvimento das habilidades fonológicas com tutoria instrucional em contexto escolar: elaboração e controle de eficácia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

LEARNING A COMPLEX MOTOR SKILL FROM VIDEO and POINT-LIGHT DEMONSTRATIONS

The aim of this Study was to compare the learning process of a highly complex ballet skill following demonstrations of point light and video models 16 participants divided into point light and video groups (ns = 8) performed 160 trials of a pirouette equally distributed in blocks of 20 trials alternating periods of demonstration and practice with a retention test a day later Measures of head and trunk oscillation coordination d1 parity from the model and movement time difference showed similarities between video and point light groups ballet experts evaluations indicated superiority of performance in the video over the point light group Results are discussed in terms of the task requirements of dissociation between head and trunk rotations focusing on the hypothesis of sufficiency and higher relevance of information contained in biological motion models applied to learning of complex motor skills