Results 11 to 20 of about 2,150,519 (283)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990 Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of similar networks. >
Hansen, Lars Kai, Salamon, Peter
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Correlational Neural Networks [PDF]
Neural Computation, 2016 Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical correlation analysis (CCA)–based approaches and autoencoder (AE)–based approaches.
Chandar, Sarath +3 more
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Cells, 2022 The maladaptive response of the central nervous system (CNS) following nerve injury is primarily linked to the activation of glial cells (reactive gliosis) that produce an inflammatory reaction and a wide cellular morpho-structural and functional ...
Ciro De Luca +6 more
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Model migration neural network for predicting battery aging trajectories [PDF]
, 2020 Accurate prediction of batteries’ future degradation is a key solution to relief users’ anxiety on battery lifespan and electric vehicle’s driving range. Technical challenges arise from the highly nonlinear dynamics of battery aging.
Gao, Furong +5 more
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Interacting neural networks [PDF]
Physical Review E, 2000 Several scenarios of interacting neural networks which are trained either in an identical or in a competitive way are solved analytically. In the case of identical training each perceptron receives the output of its neighbour. The symmetry of the stationary state as well as the sensitivity to the used training algorithm are investigated.
Kinzel, W., Metzler, R., Kanter, I.
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Frontiers in Physics, 2023 In this paper, the Mohand transform-based homotopy perturbation method is proposed to solve two-dimensional linear and non-linear shallow water wave equations.
Yue Liu +5 more
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Cell Reports, 2019 Summary: Under food deprivation conditions, Drosophila larvae exhibit increases in locomotor speed and synaptic bouton numbers at neuromuscular junctions (NMJs).
Keisuke Kamimura +4 more
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From single neurons to behavior in the jellyfish Aurelia aurita
eLife, 2019 Jellyfish nerve nets provide insight into the origins of nervous systems, as both their taxonomic position and their evolutionary age imply that jellyfish resemble some of the earliest neuron-bearing, actively-swimming animals. Here, we develop the first
Fabian Pallasdies +3 more
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Impact of socioeconomic status on end-of-life costs: a systematic review and meta-analysis
BMC Palliative Care, 2020 Background Socioeconomic inequalities in access to, and utilization of medical care have been shown in many jurisdictions. However, the extent to which they exist at end-of-life (EOL) remains unclear. Methods Studies in MEDLINE, EMBASE, CINAHL, ProQuest,
Caberry W. Yu +2 more
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Modelling of a post-combustion CO₂ capture process using neural networks [PDF]
, 2015 This paper presents a study of modelling post-combustion CO₂ capture process using bootstrap aggregated neural networks. The neural network models predict CO₂ capture rate and CO₂ capture level using the following variables as model inputs: inlet flue ...
Li, Fei +3 more
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