Results 11 to 20 of about 24,706,792 (258)
Constrained LQR for Low-Precision Data Representation [PDF]
, 2013 Performing computations with a low-bit number representation results in a faster implementation that uses less silicon, and hence allows an algorithm to be implemented in smaller and cheaper processors without loss of performance.
Kerrigan, Eric C. +5 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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Voxel selection in fMRI data analysis based on sparse representation [PDF]
, 2009 Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Namburi, Praneeth +5 more
core +1 more source
Design and Implementation of a Hybrid Ontological-Relational Data Repository for SIEM Systems
Future Internet, 2013 The technology of Security Information and Event Management (SIEM) becomes one of the most important research applications in the area of computer network security.
Igor Saenko +3 more
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A Survey of Data Representation for Multi-Modality Event Detection and Evolution
Applied Sciences, 2022 The rapid growth of online data has made it very convenient for people to obtain information. However, it also leads to the problem of “information overload”.
Kejing Xiao, Zhaopeng Qian, Biao Qin
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Entropy, 2017 Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still
Peng Luo, Jinye Peng
doaj +1 more source
Patterns, 2020 Summary: Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observations
Hossein Estiri +8 more
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A data structure for lattice representation
Theoretical Computer Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
TALAMO, MAURIZIO, Vocca, P.
openaire +4 more sources
Multiple Graph Regularized Concept Factorization With Adaptive Weights
IEEE Access, 2018 Many traditional concept factorization methods employ single graph to approximate the manifold structure of data. Therefore, they cannot capture the underlying geometric structure hidden in data effectively.
Zhenqiu Shu +5 more
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Robust Graph Regularized Nonnegative Matrix Factorization
IEEE Access, 2022 Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constraint on
Qi Huang +3 more
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