6 resultados para Nombre de classes

em Universidade Federal do Rio Grande do Norte(UFRN)


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Rogram relying on sociological interface between Economic Sociology, Sociology of Moral Theory of Socialization and Social Stratification, this dissertation research makes use of theoretical contributions Luic Boltanski, Charles Taylor, Axel Honneth, Pierre Bourdieu and Bernard Lahire to problematize the generally about the physical and symbolic production and social reproduction of the type of "economic ethics" predominant in the new petite bourgeoisie Brazilian. In other words, the goal is to explain and analyze the objective conditions (economic needs and moral grammar) and intersubjective (modes of socialization and social networks) and update the social genesis and contextual transcontextual beliefs, biases, inclinations and cultural regularities observed the economic behavior of individual profiles for the fractions of the urban petty bourgeoisie and commercial upward Natal / RN. With regard to methodological strategies adopted in data collection will be conducted qualitative interviews (semistructured) and ethnographic notes. In turn, the analytical treatment of the collected empirical content is based on the approach dispositionalist (Pierre Bourdieu, Loïc Wacquant and Bernard Lahire) that emphasizes the study of the past embedded agents and the different contexts of incorporation / activation / inhibition of "provisions" individual cultural

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Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated

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This work problematizes the inflections of the offensive of the capital on the work, having as a social-historical context the relation between the productive restructuring and the social reproduction of the working families classes. Part of the presupposition that the reproduction of the capital, to raise deep transformations in the productions, organization of the work and in the social relationships, it also produces determinations in the life and work conditions, in the affectionate relationships and in the family coexistence expressing, so, a subjective way. Thereby, the conditions of reproductions of the work in the scenery aimed by the contemporary capitalism have been demonstrating the crescent impoverishment of the workers, the alimentary insecurity, the shortage of the work, the weakness of the political organization and the regression of the State in the conduction of public policy that characterize the daily violation of human and social rights. In this approach, we seek to contemplate the several configurations of affectionate-sexual coexistence expressed by the family, articulating it to the contemporary work division, pondering about the forms of satisfaction of the needs engendered by the group for preservation of their bonds, in face to the daily adversity which translates to the growing responsibility to assist social d mands and in the impediments to the enrichment of the individuality and human diversity.

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The problematic that gives shape to this research is the question of the historical process of demobilization of the movement of the working classes in your accented contemporary moment. Their object of study, however, and that it particularizes, it relates to a portion this problematic; it relates to set of determinations that comprise a broader set of determinations of this historical process: it is a set of determinations forged and mediated by bourgeois strategies of management for the conformation of the circumstances necessary for the domination and for the conduct of labor force on operations in work processes for the production of surplus value. What we investigated are, because, the strategies of disarticulation that the bourgeoisie utilizes, under the mantle of subsidies conceptual and interventive of its management of work processes and the sieve of class struggles, to obstruct the union of workers; hamper the movements proletarians. Managerial strategies that intentionally or unintentionally, instill in the social relations of production means to produce and reproduce, activate and reactivate conditions of incitement of individualism and competition between the workers themselves. We shall see, thus, by analyzing means, centrally, from some of the fundamentals of disarticulation in the managerial strategies bourgeois and some of the fundamental strategies of management bourgeois hegemonized with the restructuring productive of 1970, that the disarticulation, and also the demobilization, is a concrete condition, is an objective condition, that is beyond a question that can be "solved" only by enlightenment cognitive, only by formation criticism intellectual. In everyday of the work spaces permeated by managerial strategies bourgeois there elements, then, operating as a material force putting difficulties important for the articulation of the workers, the solidarity of the proletariat; elements that constitute obstacle significant to an awareness of class and belonging; elements act in favor of the atomization of the worker - even if engenders, in the same process, as a contradiction, potentiality of resistance and fight the forces of labor

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Monoidal logic, ML for short, which formalized the fuzzy logics of continuous t-norms and their residua, has arisen great interest, since it has been applied to fuzzy mathematics, artificial intelligence, and other areas. It is clear that fuzzy logics basically try to represent imperfect or fuzzy information aiming to model the natural human reasoning. On the other hand, in order to deal with imprecision in the computational representation of real numbers, the use of intervals have been proposed, as it can guarantee that the results of numerical computation are in a bounded interval, controlling, in this way, the numerical errors produced by successive roundings. There are several ways to connect both areas; the most usual one is to consider interval membership degrees. The algebraic counterpart of ML is ML-algebra, an interesting structure due to the fact that by adding some properties it is possible to reach different classes of residuated lattices. We propose to apply an interval constructor to ML-algebras and some of their subclasses, to verify some properties within these algebras, in addition to the analysis of the algebraic aspects of them

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Atualmente, há diferentes definições de implicações fuzzy aceitas na literatura. Do ponto de vista teórico, esta falta de consenso demonstra que há discordâncias sobre o real significado de "implicação lógica" nos contextos Booleano e fuzzy. Do ponto de vista prático, isso gera dúvidas a respeito de quais "operadores de implicação" os engenheiros de software devem considerar para implementar um Sistema Baseado em Regras Fuzzy (SBRF). Uma escolha ruim destes operadores pode implicar em SBRF's com menor acurácia e menos apropriados aos seus domínios de aplicação. Uma forma de contornar esta situação e conhecer melhor os conectivos lógicos fuzzy. Para isso se faz necessário saber quais propriedades tais conectivos podem satisfazer. Portanto, a m de corroborar com o significado de implicação fuzzy e corroborar com a implementação de SBRF's mais apropriados, várias leis Booleanas têm sido generalizadas e estudadas como equações ou inequações nas lógicas fuzzy. Tais generalizações são chamadas de leis Boolean-like e elas não são comumente válidas em qualquer semântica fuzzy. Neste cenário, esta dissertação apresenta uma investigação sobre as condições suficientes e necessárias nas quais três leis Booleanlike like — y ≤ I(x, y), I(x, I(y, x)) = 1 e I(x, I(y, z)) = I(I(x, y), I(x, z)) — se mantém válidas no contexto fuzzy, considerando seis classes de implicações fuzzy e implicações geradas por automorfismos. Além disso, ainda no intuito de implementar SBRF's mais apropriados, propomos uma extensão para os mesmos