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Statistical learning seemed to require the hippocampus.
One of Turk-Browne's specialties, "statistical learning," involves this kind of complex circuit.
Statistical "learning algorithms" — methods of constructing models from streams of data — were the wheel on which the back of the A.I. culture was broken.
There is no solitary "module" for statistical learning: it enlists several parts of the brain, including the hippocampus, as Turk-Browne demonstrated in fMRI studies of healthy subjects.
It is still true for statistical learning.
"Think of Watson as whole series of statistical learning engines, not one thing," Kelly said.
High-dimensional data pose challenges in statistical learning and modeling.
Support vector regression (SVR) is a supervised learning algorithm plant based on statistical learning (SLT) theory.
The company says its algorithms are based on "a biologically inspired neural network" that also employs "statistical learning models".
This will be a huge amount of data and a huge opportunity to use statistical learning for medicine.
By applying statistical learning techniques, coders develop computational models that can automatically identify patterns in the data.
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