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pro vyhledávání: '"Constraints and Data Mining"'
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IJCAI
Rader, A P, Mocanu, I G, Belle, V & Juba, B 2021, Learning Implicitly with Noisy Data in Linear Arithmetic . in Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI-21) . pp. 1410-1417, 30th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 19/08/21 . https://doi.org/10.24963/ijcai.2021/195
Rader, A P, Mocanu, I G, Belle, V & Juba, B 2021, Learning Implicitly with Noisy Data in Linear Arithmetic . in Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI-21) . pp. 1410-1417, 30th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 19/08/21 . https://doi.org/10.24963/ijcai.2021/195
Robust learning in expressive languages with real-world data continues to be a challenging task. Numerous conventional methods appeal to heuristics without any assurances of robustness. While probably approximately correct (PAC) Semantics offers stro
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