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40.742  Articles
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Random forests are currently one of the most preferable methods of supervised learning among practitioners. Their popularity is influenced by the possibility of applying this method without a time consuming pre-processing step. Random forests can be used ... see more

In many studies where data are collected on several variables, there is a motivation to find if fewer variables would provide almost as much information. Variance of a variable about its mean is the common statistical measure of information content, and t... see more

Most of the surveying tasks involve the acquisition and analysis of measurements.Such measurements are subject to random, systematic and gross errors. In practice, redundantmeasurements are made to provide quality control and errors check. In qualitative ... see more

Association rule mining is a fundamental task in many data mining and analysis applications, both for knowledge extraction and as part of other processes (for example, building associative classifiers). It is well known that the number of associations ide... see more

What are the distinct ways in which a set of predictor variables can provide information about a target variable? When does a variable provide unique information, when do variables share redundant information, and when do variables combine synergistically... see more

The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 2010 attracted a significant amount of attention to the problem of defining redundant (or shared), unique and synergistic (or complementary) components of mut... see more

O desempenho dos organismos em determinada condição ambiental depende das estratégias ecológicas desenvolvidas ao longo da sua evolução, as quais são expressas por combinações de atributos funcionais (AF) que conferem vantagem adaptativa em um dado habita... see more

Efficient multimedia image extraction with high precision compatible with diverse image datasets is an implicit requirement of current image retrieval systems. In this paper, a multimedia image descriptor is introduced to achieve high performance along wi... see more

To make artificial vision or computer vision possible, it is necessary to solve a series of problems of reasonable complexity. The first problem is the calibration of the cameras which will be used by the artificial vision system. The calibration process ... see more

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