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The Complexity of Counting Problems Over Incomplete Databases
(ASSOC COMPUTING MACHINERY, 2021)
We study the complexity of various fundamental counting problems that arise in the context of incomplete databases, i.e., relational databases that can contain unknown values in the form of labeled nulls. Specifically, we ...
Characterizing time series via complexity-entropy curves
(American Physical Society, 2017-06)
The search for patterns in time series is a very common task when dealing with complex systems. This is usually accomplished by employing a complexity measure such as entropies and fractal dimensions. However, such measures ...
Characterization of time series via Rényi complexity–entropy curves
(Elsevier Science, 2018-05)
One of the most useful tools for distinguishing between chaotic and stochastic time series is the so-called complexity-entropy causality plane. This diagram involves two complexity measures: the Shannon entropy and the ...
Holographic complexity for time-dependent backgrounds
(2016)
In this paper, we will analyze the holographic complexity for time-dependent asymptotically AdS geometries. We will first use a covariant zero mean curvature slicing of the time-dependent bulk geometries, and then use this ...
Influence of cueing on the preparation and execution of untrained and trained complex motor responses
(ASSOC BRAS DIVULG CIENTIFICASAO PAULO, 2013-08-02)
This study investigated the influence of cueing on the performance of untrained and trained complex motor responses. Healthy adults responded to a visual target by performing four sequential movements (complex response) ...
EFFECTIVE NETWORKS FOR REAL-TIME DISTRIBUTED PROCESSING
(SPRINGER HEIDELBERG, 2011)
This paper applies the concepts and methods of complex networks to the development of models and simulations of master-slave distributed real-time systems by introducing an upper bound in the allowable delivery time of the ...
Complex network study of solar magnetograms
(MDPI, 2022)
In this paper, we study solar magnetic activity by means of a complex network approach. A complex network was built based on information on the space and time evolution of sunspots provided by image recognition algorithms ...
Quantile graphs for the characterization of chaotic dynamics in time series
(Ieee, 2015-01-01)
Recently, a map from time series to networks with an approximate inverse operation has been proposed [1], allowing the use network statistics to characterize time series and time series statistics to characterize networks. ...
Quantile graphs for the characterization of chaotic dynamics in time series
(2016-06-01)
Recently, a map from time series to networks with an approximate inverse operation has been proposed [1], allowing the use network statistics to characterize time series and time series statistics to characterize networks. ...