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pro vyhledávání: '"Dickens , Charles"'
Autor:
Dickens, Charles, Pryor, Connor, Gao, Changyu, Albalak, Alon, Augustine, Eriq, Wang, William, Wright, Stephen, Getoor, Lise
The field of Neural-Symbolic (NeSy) systems is growing rapidly. Proposed approaches show great promise in achieving symbiotic unions of neural and symbolic methods. However, each NeSy system differs in fundamental ways. There is a pressing need for a
Externí odkaz:
http://arxiv.org/abs/2407.09693
We leverage convex and bilevel optimization techniques to develop a general gradient-based parameter learning framework for neural-symbolic (NeSy) systems. We demonstrate our framework with NeuPSL, a state-of-the-art NeSy architecture. To achieve thi
Externí odkaz:
http://arxiv.org/abs/2401.09651