Reduced implication-bias logic loss for neuro-symbolic learning

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He, Hao-Yuan, et al. “Reduced Implication-Bias Logic Loss for Neuro-Symbolic Learning”. Machine Learning, 2024, https://doi.org/10.1007/s10994-023-06436-4.
He, H.-Y., Dai, W.-Z., & Li, M. (2024). Reduced implication-bias logic loss for neuro-symbolic learning. Machine Learning. https://doi.org/10.1007/s10994-023-06436-4
He, Hao-Yuan, Wang-Zhou Dai, and Ming Li. “Reduced Implication-Bias Logic Loss for Neuro-Symbolic Learning”. Machine Learning, 2024. https://doi.org/10.1007/s10994-023-06436-4.
He HY, Dai WZ, Li M. Reduced implication-bias logic loss for neuro-symbolic learning. Machine Learning. 2024;.
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TST.2012.6374363 2012
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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