Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3643-6
Abstract: Hepatitis, a common liver inflammation, is one of the major public health issues around the world. Proper interpretation of clinical data for the diagnosis of hepatitis is an important problem that needs to be addressed.… read more here.
Keywords: diagnosis; information gain; system; hepatitis ... See more keywords
Information gain and systems entanglement in tripartite measurement model
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DOI: 10.1007/s11128-020-02979-w
Abstract: It is well known that obtaining information of the quantum system can be performed by quantum measurements. However, it also brings disturbance to the system and affects the entanglement between arbitrary bipartite systems. Firstly, based… read more here.
Keywords: information; systems entanglement; information gain; entanglement tripartite ... See more keywords
Information gain when measuring an unknown qubit
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Physics"
DOI: 10.1088/1361-6404/aa94e4
Abstract: In quantum information the fundamental information-containing system is the qubit. A measurement of a single qubit can at most yield one classical bit. However, a dichotomous measurement of an unkn ... read more here.
Keywords: gain measuring; information; qubit; measuring unknown ... See more keywords
Effect of chaos on information gain in quantum tomography.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.024209
Abstract: Does chaos in the dynamics enable or impede information gain in quantum tomography? We address this question by considering continuous measurement tomography in which the measurement record is obtained as a sequence of expectation values… read more here.
Keywords: information; quantum; information gain; chaos ... See more keywords
Multi-Duplicated Characterization of Graph Structures Using Information Gain Ratio for Graph Neural Networks
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DOI: 10.1109/access.2023.3264596
Abstract: Various graph neural networks (GNNs) have been proposed to solve node classification tasks in machine learning for graph data. GNNs use the structural information of graph data by aggregating the feature vectors of neighboring nodes.… read more here.
Keywords: information; graph; gain ratio; information gain ... See more keywords
Non-normality Improves Information Transmission Performance of Network Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3088795
Abstract: In this article, we propose a new measure of communication performance of linear network systems, the information gain, and we show that this measure is strongly affected by the degree of non-normality of the network's… read more here.
Keywords: information gain; network systems; network; information ... See more keywords
Optimization of Information Gain in Multifidelity High-Speed Pressure Predictions
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DOI: 10.2514/1.j059507
Abstract: The objective of multifidelity modeling is to achieve both accurate and efficient predictions by combining high- and low-fidelity models. A flexible approach considering additive, multiplicative, a... read more here.
Keywords: gain multifidelity; information gain; optimization information; multifidelity high ... See more keywords
Applying Information Gain to Explore Factors Affecting Small-Incision Lenticule Extraction: A Multicenter Retrospective Study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.837092
Abstract: Purpose This retrospective study aimed to identify the key factors influencing postoperative refraction after small-incision lenticule extraction (SMILE) using information gain. Methods This study comprised 2,350 eyes of 1,200 patients who underwent SMILE using a… read more here.
Keywords: 001 preoperative; lenticule; information gain; refraction ... See more keywords
Entropy based C4.5-SHO algorithm with information gain optimization in data mining
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.424
Abstract: Information efficiency is gaining more importance in the development as well as application sectors of information technology. Data mining is a computer-assisted process of massive data investigation that extracts meaningful information from the datasets. The… read more here.
Keywords: information; data mining; sho algorithm; optimization ... See more keywords