However, if the focus is on minimizing the number of parameters and model complexity, the TP-Unet+AE model can be utilized to achieve a smaller parameter count and reduced complexity. Nevertheless, in the contex
Model complexity is a fundamental problem in deep learning. In this paper, we conduct a systematic overview of the latest studies on model complexity in deep learning. Model complexity of deep learning can be categorized into expressive capacity and effective model complexity. We review the existing...
These numbers are orders of magnitude larger than those for typical low or intermediate complexity models discussed in the literature, and they pose a new set of practical and conceptual questions. The aim of this work is to give some initial and, at this stage, necessarily tentative answers ...
4.1. Reduced model complexity The application of ACM when driven with site-level meteorological data had a consistently high correlation to SPAc GPP estimates for both single-site and multi-site calibrations (Table 4). Therefore, a reduction in model complexity, including temporal resolution (i.e...
(LS-SVM). LS-SVM is a generalized scheme for classification and also incurs low computation complexity in comparison with the ordinary SVM scheme [40]. One can find more details about calculating LS-SVM in Appendix B, available in the online supplemental material. The following sections explain...
Instead, we should strive to strike the balance between model complexity and tractability that maximizes our ability to accurately elucidate evolutionary history. We believe MSC models achieve such a balance, while acknowledging that even more complex models, such as those involving networks, may prove...
El Niño-Southern Oscillation (ENSO) exhibits diverse characteristics in spatial pattern, peak intensity, and temporal evolution. Here we develop a three-region multiscale stochastic model to show that the observed ENSO complexity can be explained by c
While it's nice not having to check the state before and after the call, we've traded that complexity with that of subscribing and removing subscriptions from the domain event. Also, code that calls the domain model in any use case shouldn't have to know if a customer can become preferre...
The human neuroblastoma cell line, SH-SY5Y, is a commonly used cell line in studies related to neurotoxicity, oxidative stress, and neurodegenerative diseases. Although this cell line is often used as a cellular model for Parkinson’s disease, the releva
Insertions and deletions (indels) account for more nucleotide differences between two related DNA sequences than substitutions do, and thus it is imperative to develop a stochastic evolutionary model that enables us to reliably calculate the probability