Results 11 to 20 of about 18,139 (247)
Introduction to Quantum Logical Information Theory: Talk
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]
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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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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How to Mine Information from Each Instance to Extract an Abbreviated and Credible Logical Rule
Decision trees are particularly promising in symbolic representation and reasoning due to their comprehensible nature, which resembles the hierarchical process of human decision making.
Limin Wang, Minghui Sun, Chunhong Cao
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Logical Entropy of Partitions for Interval-Valued Intuitionistic Fuzzy Sets
In this study, we present the ideas of logical entropy and logical conditional entropy for partitions in interval-valued intuitionistic fuzzy sets, and we establish their fundamental properties.
Zohreh Nazari, Elham Zangiabadi
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Toward Prompt-Enhanced Sentiment Analysis with Mutual Describable Information Between Aspects
Sentiment analysis aims to attain the sentiment polarity of the text, which is a coarse-grained approach and does not focus on the targets . On the other hand, an aspect-based sentiment analysis (ABSA) has recently gained boosting interest. The ABSA is a
Gaofei Xie +3 more
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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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Logical Information Theory: New Logical Foundations for Information Theory [PDF]
here is a new theory of information based on logic. The definition of Shannon entropy as well as the notions on joint, conditional, and mutual entropy as defined by Shannon can all be derived by a uniform transformation from the corresponding formulas of
David Ellerman, Ellerman, David
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Mutual Information Analysis for Three-Phase Dynamic Current Mode Logic against Side-Channel Attack
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
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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