Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
This important study combines the use of Fisher Kernels with Hidden Markov models aiming to improve brain-behaviour prediction. The evidence supporting the authors' conclusions is compelling, ...
ABSTRACT: The nature of rock fragmentation affects the downstream mining processes like loading, hauling, and crushing the blasted rock. Therefore, it is important to evaluate rock fragmentation after ...
Abstract: To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield ...
Liver fibrosis is a progressive and potentially reversible condition that results from chronic liver damage, which can be caused by a variety of factors, including metabolic dysfunction-associated ...
Abstract: This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by ...
ABSTRACT: Any stock is exposed to many different risk factors simultaneously. Collinearity among risk factors often makes it difficult to identify effective factors. Based on multi-factor quantitative ...