📖 Start here: 5-minute introduction page — hero, install, five runnable snippets covering simulation → fitting → KS goodness-of-fit → decoding → SSGLM, plus a paper-example thumbnail gallery and v1.4 ...
Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In the quest for accelerating de novo drug discovery, the development of efficient and ...
In intervention research, single-case experimental designs are an important way to gain insights into the causes of individual changes that yield high internal validity. They are commonly applied to ...
We study minimization of a structured objective function, being the sum of a smooth function and a composition of a weakly convex function with a linear operator. Applications include image ...
The cardioprotective capacity of HDL (high-density lipoprotein) cholesterol postmenopause has been challenged. HDL subclasses, lipid contents, and function might be better predictors of cardiovascular ...
We propose two approaches of locally adaptive activation functions namely, layer-wise and neuron-wise locally adaptive activation functions, which improve the performance of deep and physics-informed ...
Richelia intracellularis is one of the few heterocystous cyanobacteria commonly found in the oligotrophic oceans and are considered an important source of new nitrogen (N) and primary production ...
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