Results 11 to 20 of about 16,028,594 (253)
Logical Entropy: Introduction to Classical and Quantum Logical Information Theory
Entropy, 2018 Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets.
David Ellerman
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Mutual Information Analysis for Three-Phase Dynamic Current Mode Logic against Side-Channel Attack
ETRI Journal, 2015 To date, many different kinds of logic styles for hardware countermeasures have been developed; for example, SABL, TDPL, and DyCML. Current mode-based logic styles are useful as they consume less power compared to voltage mode-based logic styles such as SABL and TDPL.
Hyunmin Kim, Dong-Guk Han, Seokhie Hong
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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
BMC Bioinformatics, 2020 Background Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the data ...
Seyed Amir Malekpour +2 more
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Revista Brasileira de Educação do Campo, 2022 The main purpose of the study is to determine the main features of the pedagogical aspects of sociocultural competence as an element of intercultural communication.
Nataliia Piddubna +4 more
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Gait feature subset selection by mutual information [PDF]
, 2007 Feature selection is an important pre-processing step for pattern recognition. It can discard irrelevant and redundant information that may not only affect a classifier’s performance, but also tell against system’s efficiency.
Mark S. Nixon +5 more
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Detection thresholding using mutual information [PDF]
, 2006 In this paper, we introduce a novel non-parametric thresholding method that we term Mutual-Information Thresholding. In our approach, we choose the two detection thresholds for two input signals such that the mutual information between the thresholded ...
Ó Conaire, Ciarán +3 more
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A Simple Method for Estimating Term Mutual Information [PDF]
, 2012 The ability to formally analyze and automatically measure statistical dependence of terms is a core problem in many areas of science. One of the commonly used tools for this is the expected mutual information (MI) measure.
McCluskey, Thomas L., Cai, Di
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Introduction to Quantum Logical Information Theory: Talk
EPJ Web of Conferences, 2018 Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences,
Ellerman David
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Semantic Information G Theory and Logical Bayesian Inference for Machine Learning
Information, 2019 An important problem in machine learning is that, when using more than two labels, it is very difficult to construct and optimize a group of learning functions that are still useful when the prior distribution of instances is changed.
Chenguang Lu
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Entropy, 2013 The quantification and analysis of uncertainties is important in all cases where maps and models of uncertain properties are the basis for further decisions.
J. Florian Wellmann
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