Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
Theories and algorithms that capture (or approximate) some of the core elements of computational intelligence. Topics include: search; logical representations and reasoning, classical automated planning, representing and reasoning with uncertainty, learning, decision making (planning) under uncertainty.
[Mathematics 2025, 13(19), 3144] [Code] A Cluster-Level Information Fusion Framework for D-S Evidence Theory with its Applications in Pattern Classification
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