Results 11 to 20 of about 3,003 (256)
A Comparison of Empirical Tree Entropies [PDF]
Lecture Notes in Computer Science, 2020 Whereas for strings, higher-order empirical entropy is the standard entropy measure, several different notions of empirical entropy for trees have been proposed in the past, notably label entropy, degree entropy, conditional versions of the latter two, and empirical entropy of trees (here, called label-shape entropy).
Danny Hucke +2 more
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Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas [PDF]
EntropyLearning dependence graphs from multivariate continuous data is challenging when marginal distributions are heterogeneous, since likelihood-based nonparametric scores can be sensitive to smoothing choices and can confound marginal irregularities ...
Luiz Desuó Neto +3 more
doaj +2 more sources
Empirical Considerations of Entropy. II. The Entropies of Inorganic Complex Ions [PDF]
Journal of Chemical Physics, 1953 A method is proposed by which the partial molal entropies of aqueous complex ions can be correlated in a simple manner as a function of the ratio of their charge to interatomic distance. The agreement obtained between the observed values and those calculated by this method has been shown to be within the accuracy of the experimental data.
James W Cobble
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Empirical Considerations of Entropy. I. The Entropies of the Oxy‐Anions and Related Species [PDF]
Journal of Chemical Physics, 1953 The partial molal entropies for oxy-anions and related species have been correlated as a function of the charge, interatomic distance, and certain structural factors. An equation is given by which the entropy for unknown species can now be estimated fairly accurately.
James W Cobble
exaly +3 more sources
The sustainability of recreational sports in Chinese cities based on cognitive entropy. [PDF]
PLoS ONEWith progress of science and development of economy, increasing numbers of urban residents take part in recreational sports (RS) due to their more leisure time and increased income.
Xuefang Zou +4 more
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Dimension-Free Empirical Entropy Estimation
IEEE Transactions on Information Theory, 2023 We seek an entropy estimator for discrete distributions with fully empirical accuracy bounds. As stated, this goal is infeasible without some prior assumptions on the distribution. We discover that a certain information moment assumption renders the problem feasible. We argue that the moment assumption is natural and, in some sense, {\em minimalistic} -
Doron Cohen 0002 +3 more
openaire +3 more sources
Chernoff-Type Concentration of Empirical Probabilities in Relative Entropy [PDF]
IEEE Transactions on Information Theory, 2021 corrected a numerical ...
F. Richard Guo +1 more
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Analysis of entropies based on empirical mode decomposition in amnesic mild cognitive impairment of diabetes mellitus [PDF]
Journal of Innovative Optical Health Sciences, 2015 EEG characteristics that correlate with the cognitive functions are important in detecting mild cognitive impairment (MCI) in T2DM. To investigate the complexity between aMCI group and age-matched non-aMCI control group in T2DM, six entropies combining ...
Dong Cui +5 more
doaj +1 more source
IEEE Access, 2021 For multidimensional data, Space-Filling Curves (SFCs) have been used to improve the execution time of spatial data queries. However, their effect on compression, when used to reorder the uncompressed values, is known to a lesser extent.
Conrad J. Haupt +2 more
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A Robust Machine Learning Model for Diabetic Retinopathy Classification
Journal of Imaging, 2023 Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to choose a robust machine learning (ML) model, usually used for data classification.
Gigi Tăbăcaru +3 more
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