Results 21 to 30 of about 1,988,912 (333)
Dimensionality reduction methods [PDF]
Advances in Methodology and Statistics, 2005 In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite's PLS approach (1994) where a simple linear ...
D'AMBRA L, AMENTA P, GALLO, Michele
openaire +4 more sources
Rare desynchronization events in power grids: on data implementation and dimensional reductions
Journal of Physics: Complexity, 2022 We discuss the frequency of desynchronization events in power grids for realistic data input. We focus on the role of time correlations in the fluctuating power production and propose a new method for implementing colored noise that reproduces non ...
Tim Ritmeester, Hildegard Meyer-Ortmanns
doaj +1 more source
Emergence of time persistence in a data-driven neural network model
eLife, 2023 Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swimming
Sebastien Wolf +4 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings
Sensors, 2017 This paper presents a supervised feature extraction method called weighted kernel entropy component analysis (WKECA) for fault diagnosis of rolling bearings.
Hongdi Zhou +7 more
doaj +1 more source
Compressing Fisher Vector for Robust Face Recognition
IEEE Access, 2017 One major topic for robust face recognition could be the efficient encoding of facial descriptors. Among various encoders, Fisher vector (FV) is one of the probabilistic methods that yield promising results.
Hongjun Wang, Jiani Hu, Weihong Deng
doaj +1 more source
IEEE Open Journal of Instrumentation and Measurement, 2022 Deep learning neural network serves as a powerful tool for visual anomaly detection (AD) and fault diagnosis, attributed to its strong abstractive interpretation ability in the representation domain.
Jie Lin, Song Chen, Enping Lin, Yu Yang
doaj +1 more source
Expansion of a quantum gas in a shell trap
New Journal of Physics, 2022 We report the observation of the controlled expansion of a two-dimensional (2D) quantum gas confined onto a curved shell-shaped surface. We start from the ellipsoidal geometry of a dressed quadrupole trap and introduce a novel gravity compensation ...
Yanliang Guo +8 more
doaj +1 more source
Modular Dimensionality Reduction [PDF]
, 2019 We introduce an approach to modular dimensionality reduction, allowing efficient learning of multiple complementary representations of the same object. Modules are trained by optimising an unsupervised cost function which balances two competing goals: Maintaining the inner product structure within the original space, and encouraging structural ...
Reeve, Henry W J +2 more
openaire +5 more sources