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Networks enhance the analysis of polymicrobial interactions within microbiota and their role in health, disease, and development. Microbiota are now widely recognized as being central players in the health of all organisms and ecosystems, and subsequently have been the subject of intense study. However...
The high dimensionality of HSIs, which leads to a higher number of trainable parameters compared to gray scale or multispectral images, along with the availability of only a limited number of training samples, make the training stage of such data extremely challenging. To address these issues, ...
Regarding the dimensionality of value, Holbrook (2002) proposed eight categories: aesthetics, esteem, ethics, quality, efficiency, play, status, and spirituality, in terms of three dimensions, extrinsic or intrinsic, self-oriented or other-oriented, and active or reactive (Gallarza & Saura, 2006)...
The hidden layer of the neural network has a dimensionality of 8 and uses tangens hyperbolicus as its nonlinearity. To evaluate the performance of the models for each area separately, we select a sigmoid as the link function of the GLM and the activation function of the neural network’s ...
While an elegant model, choosing the unit circle as the latent space is problematic as it restricts the dimensionality of the space. For our modelling, we need a description of the properties of the latent variables, \(x_{i}\). We know that geometry is a key consideration of networks, ...