AI RESEARCH
Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions
arXiv CS.LG
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ArXi:2605.09396v1 Announce Type: cross This paper relaxes the restrictive symmetry conditions adopted in, and extends their universal feature selection framework to accommodate noisy observations as well as attribute structures that may exhibit directional preferences. We