775 resultados para Learning from Examples


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Contrary to divisive labels to describe generations, members of different age groups have much to teach each other: Younger workers bring fresh perspectives to old issues, while older workers' valuable organizational history help inform current contexts. All age groups in the workplace benefit in learning from each other's perspectives.

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T he aim of this study is to analyze the view of nurses about nursing records in the patient chart, in perspective of the record of humanized care. This is a case study, with qualitative approach. For its achievement, was sought and granted authorization from the direction of the Hospital Universitário Onofre Lopes (HUOL) and the Ethics Committee in Research of HUOL as Statement No. 422/10. During data collection, interviews were conducted with 20 nurses of the institution. The data analysis was based on the theoretical framework of Minayo to thematic content analysis, grounded in authors who work with themes, nursing records and quality care. With the empirical material, we constructed a framework of analysis, which was identified four categories thus nominated, "Reading and learning from those who register," "nursing records and quality of care," "the essence of nursing records" and "intention and action on the record of the subjective aspects of the patient." The results show that the records are insufficient, even in the case of the procedures performed with the patients often do not inform about the aspects that deal with the subjectivity that surround it, and admit that the records do not represent a parameter for evaluating the quality of care at least at that institution. In summary, the respondents recognize the importance of valuing subjectivity of the patient in their treatment, yet admit to neglect this aspect as significant for comprehensive health care, humane and quality

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In multi-robot systems, both control architecture and work strategy represent a challenge for researchers. It is important to have a robust architecture that can be easily adapted to requirement changes. It is also important that work strategy allows robots to complete tasks efficiently, considering that robots interact directly in environments with humans. In this context, this work explores two approaches for robot soccer team coordination for cooperative tasks development. Both approaches are based on a combination of imitation learning and reinforcement learning. Thus, in the first approach was developed a control architecture, a fuzzy inference engine for recognizing situations in robot soccer games, a software for narration of robot soccer games based on the inference engine and the implementation of learning by imitation from observation and analysis of others robotic teams. Moreover, state abstraction was efficiently implemented in reinforcement learning applied to the robot soccer standard problem. Finally, reinforcement learning was implemented in a form where actions are explored only in some states (for example, states where an specialist robot system used them) differently to the traditional form, where actions have to be tested in all states. In the second approach reinforcement learning was implemented with function approximation, for which an algorithm called RBF-Sarsa($lambda$) was created. In both approaches batch reinforcement learning algorithms were implemented and imitation learning was used as a seed for reinforcement learning. Moreover, learning from robotic teams controlled by humans was explored. The proposal in this work had revealed efficient in the robot soccer standard problem and, when implemented in other robotics systems, they will allow that these robotics systems can efficiently and effectively develop assigned tasks. These approaches will give high adaptation capabilities to requirements and environment changes.

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This study reflects on some procedural aspects about the development of mathematics learning from the experience with investigative activities concerning the resolution of second degree equation, which was tested a proposal for education, supported the use of texts in history of mathematics. The survey was conducted in two stages, taking the first-served basis for the second, which was carried out with a study group remainder of the first experiment. The intention was to investigate how the group participant, known as the study group, involved in the implementation of activities of research in mathematics, supported the use of the history of mathematics. Based on the results achieved during the study, it was possible to understand that the activities of research enable the development of students, range of learning mathematics and the development of skills and expertise for research as a vehicle for construction of their mathematical knowledge. This approach proposed research into the classroom is important, both for prospective teachers of mathematics and for students from elementary school, bringing a new phase for mathematical education that will come to schools

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In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

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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.

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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.

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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.

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Includes bibliography

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Pós-graduação em Artes - IA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This report proposes a framework for locating, collecting, creating, sharing and applying information and knowledge (from within and outside the subregion) for development purposes in the Caribbean subregion. The framework emphasizes the importance of protecting and tapping into the rich cultural heritage and traditional knowledge of the Caribbean to support its development. This knowledge management for development framework, advanced by ECLAC, is proposed for consideration in the design and implementation of both national policies and strategies, and communitylevel projects to support the achievement of the Millennium Development Goals and the overall sustainable development of the Caribbean subregion. It considers six main elements, namely inputs, processes and tools, outputs, pillars (on which all the above are built on), the environment or context in which this, like any other scheme, operates and the monitoring and evaluation of knowledge management initiatives. The approach draws from examples of models, frameworks and initiatives developed worldwide, with particular emphasis on those from Latin America and the Caribbean.