Results 31 to 40 of about 601,504 (262)
Investigation of Metastable Low Dimensional Halometallates
Molecules, 2022 The solvothermal synthesis, structure determination and optical characterization of five new metastable halometallate compounds, [1,10-phenH][Pb3.5I8] (1), [1,10-phenH2][Pb5I12]·(H2O) (2), [1,10-phen][Pb2I4] (3), [1,10-phen]2[Pb5Br10] (4) and [1,10-phenH]
Navindra Keerthisinghe +6 more
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SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM
Frontiers in Microbiology, 2023 IntroductionIdentification of complex associations between diseases and microbes is important to understand the pathogenesis of diseases and design therapeutic strategies.
Feixiang Wang +5 more
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Binary Codes Based on Non-Negative Matrix Factorization for Clustering and Retrieval
IEEE Access, 2020 Traditional non-negative matrix factorization methods cannot learn the subspace from the high-dimensional data space composed of binary codes. One hopes to discover a compact parts-based representation composed of binary codes, which can uncover the ...
Jiang Xiong +3 more
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Mixing Autoencoder With Classifier: Conceptual Data Visualization
IEEE Access, 2020 In this paper, a neural network that is able to form a low-dimensional topological hidden representation is explained. The neural network can be trained as an autoencoder, as a classifier or as a mixture of both and produces a different low-dimensional ...
Pitoyo Hartono
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Dynamics of coset dimensional reduction [PDF]
Physical Review D, 2006 The evolution of multiple scalar fields in cosmology has been much studied, particularly when the potential is formed from a series of exponentials. For a certain subclass of such systems it is possible to get `assisted` behaviour, where the presence of multiple terms in the potential effectively makes it shallower than the individual terms indicate ...
Karthauser, Josef L.P., Saffin, Paul M.
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Frontiers in Systems BiologyIntroductionThe availability of large-scale multi-omic data has revolution-ized the study of cellular machinery, enabling a systematic understanding of biological processes.
Andrea Angarita-Rodríguez +10 more
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A GALERKIN APPROXIMATION METHOD INCLUDING SPACE DIMENSIONAL REDUCTION - APPLIED FOR SOLUTION OF A HEAT CONDUCTION EQUATION [PDF]
Applied Computer Science, 2012 A multivariate data fitting procedure, based on the Galerkin minimization method, is studied in this paper. The main idea of the developed approach consists in projecting the set of data points from the original, higherdimensional space, onto a line ...
Krzysztof NAKONIECZNY
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Open Geosciences, 2020 Swarm intelligence algorithms have been widely used in the dimensional reduction of hyperspectral remote sensing imagery. The ant colony algorithm (ACA), the clone selection algorithm (CSA), particle swarm optimization (PSO), and the genetic algorithm ...
Xiaohui Ding +4 more
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Spontaneous dimensional reduction? [PDF]
AIP Conference Proceedings, 2012 To appear in Proc.
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Foliation-Based Approach to Quantum Gravity and Applications to Astrophysics
Universe, 2019 The recently proposed holography-inspired approach to quantum gravity is reviewed and expanded. The approach is based on the foliation of the background spacetime and reduction of the offshell states to the physical states.
Inyong Park
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