Abstract: This paper presents a new approach to Model Predictive Control for environments where essential, discrete variables are partially observed. Under this assumption, the belief state is a ...
Variable reluctance (VR) sensors transform mechanical motion into electrical signals by exploiting changes in magnetic flux. As a ferromagnetic target moves past the sensor’s pole piece, the ...
Semin Liver Dis. 2008;28(1):110-122. Since the five variables of Child-Pugh score were selected empirically, it can be anticipated that not all are independent predictors of prognosis. For example, ...
Abstract: Stochastic optimization aims to minimize the loss functions with noisy function and/or gradient measurements only. Depending on the types of the underlying variables, optimization problems ...
Generative modeling of discrete variables is challenging yet crucial for applications in natural language processing and biological sequence design. We introduce the Shortlisting Model (SLM), a novel ...
We want to run FCI with the KCI independence test and have a couple of binary variables (vegetarianism, gender) and a couple of scaled discreet variables (like smoking, where 0 is not smoking, 1 ...
When it comes to transmissions, a geared continuously-variable transmission (CVT) is a bit of a holy grail. CVTs allow smooth on-the-fly adjustment of gear ratios to maintain a target speed or power ...
ABSTRACT: This paper presents a study of minimizing weight by optimizing different truss parts using finite element analysis and comparing Warren trusses with other trusses. The aim of the ...
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