Results 1 to 10 of about 27,600,540 (304)
Criticality Analysis: Bio-Inspired Nonlinear Data Representation [PDF]
Entropy, 2023 The representation of arbitrary data in a biological system is one of the most elusive elements of biological information processing. The often logarithmic nature of information in amplitude and frequency presented to biosystems prevents simple ...
Tjeerd V. olde Scheper
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Unitary Transformations in the Quantum Model for Conceptual Conjunctions and its Application to Data Representation [PDF]
Frontiers in Psychology, 2015 Quantum models of concept combinations have been successful in representing various experimental situations that cannot be accommodated by traditional models based on classical probability or fuzzy set theory.
Tomas eVeloz +3 more
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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation
IEEE Access, 2022 This work proposes a novel unsupervised deep non-negative matrix factorization (NMF) model called AGDNMF by deep exploration of the structure of the original data.
Songtao Li, Weigang Li, Yang Li
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Embedded Data Representations [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2017 We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers. Technologies like lightweight wireless displays, mixed reality hardware, and autonomous vehicles are making it increasingly easier to display data in ...
Willett, Wesley +2 more
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Hyper-class representation of data
Neurocomputing, 2022 Data representation is usually a natural form with their attribute values. On this basis, data processing is an attribute-centered calculation. However, there are three limitations in the attribute-centered calculation, saying, inflexible calculation, preference computation, and unsatisfactory output.
Shichao Zhang 0001 +3 more
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A Note on Representational Understanding
Entropy, 2022 In this paper, we explore a new approach in which understanding is interpreted as a set representation. We prove that understanding/representation, finding the appropriate coordination of data, is equivalent to finding the minimum of the representational
Antal Jakovác, András Telcs
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Key Band Image Sequences and A Hybrid Deep Neural Network for Recognition of Motor Imagery EEG
IEEE Access, 2021 Deep neural network is a promising method to recognize motor imagery electroencephalography (MI-EEG), which is often used as the source signal of a rehabilitation system; and the core issues are the data representation and the matched neural networks. MI-
Ming-Ai Li, Wei-Min Peng, Jin-Fu Yang
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Current: The Journal of Marine Education, 2020 Data Saves the Whales! was developed as part of the Advanced Manufacturing and Prototyping Integrated to Unlock Potential (AMP-IT-UP) project, funded by the National Science Foundation through its Math and Science Partnership program.
Jayma Koval +3 more
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Mining Actuarial Risk Predictors in Accident Descriptions Using Recurrent Neural Networks
Risks, 2020 One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts.
Jean-Thomas Baillargeon +2 more
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