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Legalidad empírica y realidad efectivaEmpirical legality and effective reality
(Universidad Nacional de Colombia. Facultad de Ciencias Humanas. Departamento de Filosofía, 2015-08)
En este trabajo investigaremos las condiciones que la doctrina de Kant establece para la predicación de la realidad efectiva de objetos empíricos determinados. Sostendremos: i) que para tal predicación no sólo es necesario ...
A useful empirical bayesian method to analyse industrial data from saturated factorial designs
(2013-05-07)
The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated ...
A useful empirical bayesian method to analyse industrial data from saturated factorial designs
(2013-05-07)
The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated ...
Prediction of failure probability of oil wells
(Brazilian Statistical Association, 2014)
A family of experiments to validate measures for UML activity diagrams of ETL processes in data warehouses
(11/01/2010)
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...
RePair and All Irreducible Grammars are Upper Bounded by High-Order Empirical Entropy
(Institute of Electrical and Electronics Engineers Inc., 2019)
© 1963-2012 IEEE. Irreducible grammars are a class of context-free grammars with well-known representatives, such as Repair (with a few tweaks), Longest Match, Greedy, and Sequential. We show that a grammar-based compression ...
Orientation-Independent Empirical Mode Decomposition for Images Based on Unconstrained Optimization
(Institute of Electrical and Electronics Engineers, 2016-03)
This paper introduces a 2D extension of the empirical mode decomposition (EMD), through a novel approach based on unconstrained optimization. EMD is a fully data-driven method that locally separates, in a completely ...
Comparative study of extracellular recording methods for analysis of afferent sensory information: Empirical modeling, data analysis and interpretation
(Elsevier B.V., 2019-05)
Background: Physiological studies of sensorial systems often require the acquisition and processing of data extracted from their multiple components to evaluate how the neural information changes in relation to the environment ...
Fitting non-gaussian Models to Financial data: An Empirical StudyFitting non-gaussian Models to Financial data: An Empirical Study
(2011-04-29)
In this paper are presented some experiences about the modeling of financial data by three classes of models as alternative to Gaussian Linear models. Dynamic Volatility, Stable L'evy and Diffusion with Jumps models are ...