Frontiers

Application of the Richards function to serum antibody titration

Conventional approaches to the titration of serum antibody binding use mid-point or end-point titers that are in a relative space and are therefore difficult to standardize. Here we propose the use of ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
IEEE

Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks

Abstract: In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. Activation functions ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
IEEE

Logistic-Function Shaping of Radial Force for Acoustic Noise Reduction in Switched Reluctance Motor

Abstract: In this paper, radial-force shaping using the logistic function is proposed for acoustic noise reduction in switched reluctance motors. The proposed radial-force shaping regulates the radial ...