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A complexidade da disponibilização e acesso a dados governamentais na Web
(2016-07-01)
The Web can be regarded as a promising resource for the sharing of public information. The distribution of government data has been impacted by the governments’ crescent interest in making possible the implementation of ...
Applicability of cyclomatic complexity on WSDL
(Springer Verlag, 2015)
Uncovering patterns of the evolution of genomic sequence entropy and complexity
(2021-03-01)
The lack of consensus concerning the biological meaning of entropy and complexity of genomes and the different ways to assess these data hamper conclusions concerning what are the causes of genomic entropy variation among ...
Effective Complexity: In Which Sense is It Informative?
(Springer, 2020-09)
This work responds to a criticism of effective complexity made by James McAllister, according to which such a notion is not an appropriate measure for information content. Roughly, effective complexity is focused on the ...
The generalization complexity measure for continuous input data
(2014)
We introduce in this work an extension for the generalization complexity measure to continuous input data. The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction ...
On the complexity of computing estimates of condition measures of a conic linear system
(INST OPERATIONS RESEARCH MANAGEMENT SCIENCES, 2003)
Condition numbers based on the "distance to ill-posedness" rho(d) have been shown to play a crucial role in the theoretical complexity of solving convex optimization models. In this paper, we present two algorithms and ...
Obtenção de padrões sequenciais em data streams atendendo requisitos do Big Data
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-06-06)
The growing amount of data produced daily, by both businesses and individuals in the web, increased the demand for analysis and extraction of knowledge of this data. While the last two decades the solution was to store and ...
Deep Learning to Therapeutically Target Unreported Complexes
(Elsevier Science London, 2019-05-21)
The disruption of large protein–protein (PP) interfaces remains a challenge in targeted therapy. Designing drugs that compete with binding partners is daunting, especially when the structure of the protein complex is ...