127 resultados para Desempenho dos candidatos


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In the world we are constantly performing everyday actions. Two of these actions are frequent and of great importance: classify (sort by classes) and take decision. When we encounter problems with a relatively high degree of complexity, we tend to seek other opinions, usually from people who have some knowledge or even to the extent possible, are experts in the problem domain in question in order to help us in the decision-making process. Both the classification process as the process of decision making, we are guided by consideration of the characteristics involved in the specific problem. The characterization of a set of objects is part of the decision making process in general. In Machine Learning this classification happens through a learning algorithm and the characterization is applied to databases. The classification algorithms can be employed individually or by machine committees. The choice of the best methods to be used in the construction of a committee is a very arduous task. In this work, it will be investigated meta-learning techniques in selecting the best configuration parameters of homogeneous committees for applications in various classification problems. These parameters are: the base classifier, the architecture and the size of this architecture. We investigated nine types of inductors candidates for based classifier, two methods of generation of architecture and nine medium-sized groups for architecture. Dimensionality reduction techniques have been applied to metabases looking for improvement. Five classifiers methods are investigated as meta-learners in the process of choosing the best parameters of a homogeneous committee.

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The use of multi-agent systems for classification tasks has been proposed in order to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems. As a result, the NeurAge system was proposed. This system is composed by several neural agents which communicate and negotiate a common result for the testing patterns. In the NeurAge system, a negotiation method is very important to the overall performance of the system since the agents need to reach and agreement about a problem when there is a conflict among the agents. This thesis presents an extensive analysis of the NeurAge System where it is used all kind of classifiers. This systems is now named ClassAge System. It is aimed to analyze the reaction of this system to some modifications in its topology and configuration

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The purpose of this paper is to identify how real estate companies from the city of Natal measure their organizational performance. Traditionally these companies measure their performance using financial measures; however, the technological improvement, the internationalization of the economy and the change in consumer behavior all demand better products and services, and other measuring models. Those changes motivate organizations to continually improve the quality of their products and services. In this way, these companies need to associate their financial results to their global performance. Therefore, it is necessary to have organizational performance models that associate financial and non-financial measures to the strategies of the companies. The research also tries to identify which performance indicators are used by these companies, as well as to test a model who questions: a) if there is any relationship between managers´ characteristics and performance measuring systems´ characteristics; b) if there is any relationship between the company s characteristics and the characteristics of the measuring system used to evaluate its organizational performance and c) finally to verify if there is a relationship between the characteristics of the measuring system and the company s performance. The information which served as a basis for the study was obtained through an empirical research, with questionnaires, answered by 66 (sixty six) companies from the city of Natal, capital of the state of Rio Grande do Norte. The results show that none of the companies investigated use any of the performance measurement models proposed in the modern literature. However, they use on an isolated way some of the measures those models, including some measures from adopted in the Balanced Scorecard, as well as the benchmarking process, making comparisons with the performance of their competitors. The research also reveals that either bigger companies, companies with more experienced managers or with better performance show better performance measurement systems

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This study analyzes the perceptions of technical and administrative UFPA, in relation to the insertion of the components and assumptions of DBP in evaluation practice. Addresses the history, concepts, meanings, about AD methods, skills, evaluation skills, the APF and AD UFPA and Programme itself. The research is characterized as a hypothetical-deductive, descriptive and applied, using the case study. Data were analyzed using a quantitative approach, using the descriptive and inferential statistics. Data were collected through the application of questionnaires to 222 technical and administrative searched IFES, not occupants of FG and CD. The results indicate that the factors perceived in relation to the constituent elements such as: evaluation practice, measurement of competence, program management, timing, individual skills and fundamentals of the program and those related to assumptions such as: democratic process, integrative perspective, character development and pedagogical continuous evaluation practices are perceived in the evaluation process. The study concludes that comparing the results of the constituent elements and assumptions of the PAD of thechnical-administrative UFPA, it can be said about a tendency to change, though subtle, compared to the traditional model of AD, directed only to the granting of career progression for a new logic based on the results, showing an early effectiveness of the program evaluation practice by law and by the Institution. The results are confirmatory of advance evaluation practice in the institution, more so than has previously been expected, which demonstrates the value of scientific criteria of scientific research

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This thesis aims to identify how civil servants perceive changes made inthe carrying out of their work after their taking part in the Course forTechnicians in Public Management of the Government of Rio Grande do NorteState. As for the methodological procedures, an exploratory-descriptivequantitative research has been carried out through structured questionnaires appliedto 118 civil servants from the first groups of the Course for Technicians, thusshowing a margin of error of 4.18% to 95% of confidence, according to theprocedures of finite sampling. The table processing and analysis rested uponthe Statistical Package for the Social Sciences SPSS and was carried outthrough univariate, bivariate and multivariate techniques with emphasis on thetechnique called Factor Analysis. It was possible to identify that the level ofsatisfaction of the students was high and there was a clear perception by themthat the course assisted to changes in their work. Through Factor Analysis itwas verified that the factors that may be related to changes in the work of thecivil servants are "Contribution to Society", "Efficiency andEfficacy in the Work Environment", "Applicability of Contents"and "Capacitating for Leadership". The conclusion of the studyindicates that the factors obtained are directly related to the basis of thenew public management by means of guidance toward efficiency and efficacy in aperspective of leadership, the contents of the course being thus made into newattitudes toward work which end up yielding better results for society

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The chart of control of Hotelling T2 has been the main statistical device used in monitoring multivariate processes. Currently the technological development of control systems and automation enabled a high rate of collection of information of the production systems in very short time intervals, causing a dependency between the results of observations. This phenomenon known as auto correlation causes in the statistical control of the multivariate processes a high rate of false alarms, prejudicing in the chart performance. This entails the violation of the assumption of independence and normality of the distribution. In this thesis we considered not only the correlation between two variables, but also the dependence between observations of the same variable, that is, auto correlation. It was studied by simulation, the bi variate case and the effect of auto correlation on the performance of the T2 chart of Hotelling.

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The seismic reflection is used on a large scale in oil exploration. In case of marine acquisition the presence of high impedance contrast at the interfaces water/air generates multiple reflections events. Such multiple events can mask primary events; thus from the interpretational viewpoint it is necessary to mitigate the multiples. In this manuscript we compare two methods of multiple attenuation: the predictive multichannel deconvolution (DPM) and the F-K filtering (FKF). DPM is based in the periodicity of the multiples while FKF is based in multiples and primaries splitting in F-K domain. DPM and FKF were applied in common-offset and CDP gathers, respectively. DPM is quite sensible to the correct identification of the period and size of the filter while FKF is quite sensible to an adequate choice of the velocity in order to split multiples and primaries events in the F-K domain. DPM is a method that is designed to act over a specific event. So, when the parameters are well selected, DPM is very efficient in removing the specified multiple. Then DPM can be optimized by applying it several times, each time with a different parameterization. A deficiency of DPM occurs when a multiple is superposed to a primary event: in this situation, DPM can attenuate also the primary event. On the other hand, FKF presents almost the same performance to all multiples that are localized in the same sector of the F-K domain. The two methods can be combined in order to take advantage of their associated potentials. In this situation, DPM is firstly applied, with a focus in the sea bed multiples. Then FKF is applied in order to attenuate the remaining multiples