Abstract: Sparse additive models are an attractive choice in circumstances calling for modelling flexibility in the face of high dimensionality. We study the signal detection problem and establish the ...
Background Multiple sclerosis (MS) is the most common neuroimmunological disease in young adults. Data on its clinical onset before the age of 18 (paediatric-onset MS (POMS)) are limited. Methods This ...
ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...
ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...
A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...
Abstract: This study presents a generalized model predictive torque control (GMPTC) method that applies to all types of synchronous machines (SMs). The GMPTC method ...
SAN DIEGO — For the past week, academics, startup founders and researchers representing industrial titans from around the globe descended on sunny San Diego for the top gathering in the field of ...
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