AI RESEARCH
EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
arXiv CS.LG
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ArXi:2604.19761v1 Announce Type: cross Modern machine learning is still largely organized around a single recipe: choose a parameterized model family and optimize its weights. Although highly successful, this paradigm is too narrow for many structured prediction problems, where the main bottleneck is not parameter fitting but discovering what should be computed from the data.