Exact(3)
Orbit determination is not a well-known task in satellit geodesy.
To illustrate and study processing by this new feature, we simulated a well-known task in the psychology of reasoning (the Wason card selection task) with four different cognitive styles (strongly reactive, purely executive, weakly reflective, purely reflective) and were able to reproduce the results and types of errors found in studies of human reasoning abilities.
Performance on the Continuous Performance Test, a well-known task of sustained attention, did not decline over time as a function of prenatal PCB exposure in the Oswego, Michigan, and Faroese cohorts.
Similar(57)
The underlying problem of optimization space visualization is quite related to the well-known task of feature space visualization in pattern recognition and intelligent system design [29, 30].
Vitamin D, apart from its well-known task to regulate calcium metabolism, has been recognized to influence innate and acquired immune reactions [4].
Indeed the analysis of dyes in cultural heritage samples is a well-known challenging task, due to their inherent high tinting strength and consequent low concentration in the carrying matrix a fact that severely limits the number of analytical techniques that can be efficiently and micro-destructively employed for their detection and unambiguous identification.
The analysis of dyes in cultural heritage samples is a well-known challenging task, due to their inherent high tinting strength and consequent low concentration in the carrying matrix a fact that severely limits the number of analytical techniques that can be efficiently and micro-destructively employed for their detection and unambiguous identification.
To gauge the sensitivity of tasks used in ABM treatment and assessment, we used a counterbalanced within-subject design to measure their discriminant sensitivity to neutral and threatening facial expressions, comparing them with other well-known tasks that measure visual attention.
We will perform an extensive experimental study considering a plethora of algorithmic variants to solve a real-world problem, image registration, a well-known and complex task in computer vision.
His model is based on traditional research methods, such as lab work using rats with brain lesions, and studies of humans using a well-known card-playing task, in which players gradually start to lose money; the players in the control group stopped as their earnings diminished, but the psychopaths could focus only on the outcome of the next card choice.
Here, we study a well-known individual reinforcement learning task, namely the so-called Q-Learning [64].
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Justyna Jupowicz-Kozak
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