AI RESEARCH
Identifying Information from Observations with Uncertainty and Novelty
arXiv CS.LG
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ArXi:2501.09331v3 Announce Type: replace A machine that learns a task from observations must encounter and process uncertainty and novelty, especially when it is to maintain performance when observing new information and to select the hypothesis that best fits the current observations.