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Updated: Dec 18, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
Published on: October 27, 2016
Where is your field going? A machine learning approach to study the relative motion of the domains of physics
Andrea Palmucci1, Hao Liao2, Andrea Napoletano1,3
1Department of Physics, "Sapienza" University of Rome, Rome, Italy.
Abstract:
We propose an original approach to describe the scientific progress in a quantitative way. Using innovative Machine Learning techniques we create a vector representation for the PACS codes and we use them to represent the relative movements of the various domains of Physics in a multi-dimensional space. This methodology unveils about 25 years of scientific trends, enables us to predict innovative couplings of fields, and illustrates how Nobel Prize papers and APS milestones drive the future convergence of previously unrelated fields.
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