Results 11 to 20 of about 24,502 (300)
GenesBackground: In the realm of system biology, it is a challenging endeavor to infer a gene regulatory network from time-series gene expression data. Numerous Boolean network inference techniques have emerged for reconstructing a gene regulatory network from a time-series gene expression dataset. However, most of these techniques pose scalability concerns
Shohag Barman +6 more
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Mutual Information Neural-Estimation-Driven Constellation Shaping Design and Performance Analysis
EntropyThe choice of constellations largely affects the performance of both wireless and optical communications. To address increasing capacity requirements, constellation shaping, especially for high-order modulations, is imperative in high-speed coherent ...
Xiuli Ji +3 more
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C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
CoRR, 2020 Updated for UAI, 2020 camera-ready ...
Mondal, Arnab Kumar +5 more
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MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
, 2023 Generalization capabilities of learning-based medical image segmentation across domains are currently limited by the performance degradation caused by the domain shift, particularly for ultrasound (US) imaging. The quality of US images heavily relies on carefully tuned acoustic parameters, which vary across sonographers, machines, and settings.
Yuan Bi +5 more
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On the Difference between the Information Bottleneck and the Deep Information Bottleneck
Entropy, 2020 Combining the information bottleneck model with deep learning by replacing mutual information terms with deep neural nets has proven successful in areas ranging from generative modelling to interpreting deep neural networks. In this paper, we revisit the
Aleksander Wieczorek, Volker Roth
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Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications
Engineering Proceedings, 2023 This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi +3 more
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The refined MI: A significant improvement to mutual information
2014 International Conference on Asian Language Processing (IALP), 2014 Distributional lexical semantics is an empirical approach that is mainly concerned with modeling words' meanings using word distribution statistics gathered from very large corpora. It is basically built on the Distributional Hypothesis by Zellig Harris in 1970, which states that the difference in words' meanings is associated with the difference in ...
Maha AlRabiah +2 more
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On the Estimation of Mutual Information
Proceedings, 2020 In this paper we focus on the estimation of mutual information from finite samples ( X × Y ) . The main concern with estimations of mutual information (MI) is their robustness under the class of transformations for which it remains invariant:
Nicholas Carrara, Jesse Ernst
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Spatial Mutual Information as Similarity Measure for 3-D Brain Image Registration
IEEE Journal of Translational Engineering in Health and Medicine, 2014 Information theoretic-based similarity measures, in particular mutual information, are widely used for intermodal/intersubject 3-D brain image registration.
Qolamreza R. Razlighi +1 more
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Video Summarization Based on Mutual Information and Entropy Sliding Window Method
Entropy, 2020 This paper proposes a video summarization algorithm called the Mutual Information and Entropy based adaptive Sliding Window (MIESW) method, which is specifically for the static summary of gesture videos.
WenLin Li +4 more
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