Results 11 to 20 of about 16,643,759 (245)
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 [PDF]
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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Вестник Дагестанского государственного технического университета: Технические науки, 2022 Objective. Formulate the general principles for the construction and operation of an integrated electronic document management system, as well as list the possibilities of document management automation.Method.
A. L. Zolkin, V. S. Tormozov
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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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Logical and uncertainty models for information access : current trends [PDF]
, 2000 The current trends of research in information access as emerged from the 1999 Workshop on Logical and Uncertainty Models for Information Systems (LUMIS'99) are briefly reviewed in this paper. We believe that some of these issues will be central to future
Crestani, F., Lalmas, M.
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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 +4 more
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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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Development of Public Non-financial Reporting of Economic Entities
Учёт. Анализ. Аудит, 2020 The paper describes the main directions of public non-financial reporting development of economic entities. The main reason of disclosure non-financial indicators of an economic entity is to make the content more informative of the most significant of ...
E. V. Nikiforova
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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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