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Furthermore, problems with these confirmation strategies will arise whether one is seeking to model point-valued trajectories in state space or one is using probability densities defined on state space.
We take information foraging to model points (2) and (3) ("retrieval of items that cannot be explicitly described but will be recognized once retrieved" and "serendipitous discovery") of Toms's ways of information retrieval [1].
Step by step, the data point cloud becomes closer to the model point cloud and the process stops at local minima.
We consider an imitation learning approach to model robot point-to-point (also known as discrete or reaching) movements with a set of autonomous Dynamical Systems (DS).
The largest increase was from model 1 to model 2 (~0.06 point), and then from model 2 to model 3 (~0.04 point); the performance of the most comprehensive three models were separated by only 0.01 points.
During each iteration of the shape matching process, a specific number of pixels are sampled along the profile normal to each current model point.
It was also used to model the points of impact of a fixed straight line of particles emitted from a point source (Johnson et al. 1994).
Limitations and future areas of research The limitations of our model point to a variety of future areas of research.
The glut of photos of this new model point to a few things, most importantly Apple's new role in the supplier ecosystem.
Our data and model point to an important distinction between overall levels of eda and its spatial expression over time.
The obvious differences between clinical vertebroplasty and the in vitro porcine model point to several limitations of the present study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com