Processes Involved in, and Related to, Role-Takingdoi:10.1007/978-94-017-4871-1_5These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Baumann, Bedrich...
there's a process involved in designing that pencil," Hasnain said. "I have a certain set of steps that I would undertake given the knowledge that I have available to me based on what others have done in the past. Anything that can be described by a process or an algorithm on paper ...
There is increasing evidence that sensorimotor learning under real-life conditions relies on a composition of several learning processes. Nevertheless, most studies examine learning behaviour in relation to one specific learning mechanism. In this study, we examined the interaction between reward-based ski...
It further evaluates the dissemination and occurrence of ARGs in AD feedstocks and provides a comprehensive understanding of the fate of ARGs in AD systems. This review explores the influence of key AD parameters such as feedstock properties, pretreatments, additives, and operational strategies on ...
Machine learning Accuracy evaluation 1. Introduction Deeply buried fossil fuels (oil and gas) are an important part of the current world energy supply. Drilling is the most critical link in the petroleum industry as it is the only technical method to realize underground exploration and development....
1). This study defined the COVID-19 infectious course as ‘the totality of all processes involved in the infection to the homeostatic imbalance between the functional supply by the immune system and functional demand by SARS-CoV2. The course is represented by the causal relationships between ...
should get more involved in a systems approach to support the processes of decision making within organizations. To do this effectively, more research is needed, and some suggestions are made to shift the emphasis of research within the O.R. community. The shift should occur both at the ...
Membership inference attacks seek to infer membership of individual training instances of a model to which an adversary has black-box access through a machine learning-as-a-service API. In providing an in-depth characterization of member... S Truex,L Ling,ME Gursoy,... 被引量: 10发表: 201...
Zhang, N. Tang et al., Key problems to be solved possibly using machine learning in heavy ion collisions. Atom. Energy Sci. Tech. 57, 762–773 (2023) Google Scholar Z. Wang, Z.-Z. Ren, Predictions of the decay properties of the superheavy nuclei 293,294119 and 294,295120. Nucl....
Machine learning (ML) has become widely used in various fields32, including constructing models for thermal conversion processes33,34. In most of the reported ML studies of thermal processes, the constructed ML model can predict the output from given input parameters with a coefficient of determinat...