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Based on the first experiment, the model can learn 15 drawing sequences for three types of pictures, acquiring associative memory for drawing motions through the bottom-up learning process.
In other words, the analysis was a bottom up process.
This was a bottom up process (rather than top down or theoretically driven).
How could we speed up this learning process?
This would speed up your learning process.
The key lesson learned from the bottom-up development process is that by attending to individual image details, the developed visualizations: 1) are responsiveness to answering specific CM questions, 2) apply state-of-the-art data visualization techniques, 3) fit within an environment architecture, and 4) allow for the enrichment of design guidelines and lists of common visualization features.
Understanding the outcome of the self-organization of grid cells in three dimensions can be thus approached bottom-up, starting from basic features of the representation and then following the learning process up towards their combination into overarching structures.
It has to occur naturally through the bottoms up process.
Sectors blow from the bottom up in a process called sympathy selling.
To evaluate how top-down and bottom-up processes contribute to learning from animated displays, we conducted four experiments that varied either in the design of animations or the prior knowledge of the learners.
On the basis of their findings, Armel and Ramachandran suggest it is mainly a bottom-up process, driven by Bayesian perceptual learning.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com