scholar.google.com › citations
Negative Robust Learning results for Horn Clause Programs .. Pascal Jappy ... Robust learning abandons the 2.1 Learning Horn Clauses above assumption ...
Missing: Claus | Show results with:Claus
Hardness results for agnostically learning low-degree polynomial threshold functions. SODA '11: Proceedings of the twenty-second annual ACM-SIAM symposium on ...
This work proves the learn ability of Inductive Logic t~e limit, whereas most others use polynomial heurisProgramming (ILP) concept classes with retICS for ...
Negative Robust Learning Results from Horn Clause Programs ( PJ , RN , OG ), pp. 258–265. ICML-1995-NockG #learning ...
In this paper, we show two hardness results for approximating the best function-free Horn clause by an element of the same class. Our first result shows ...
ICML-1996-JappyNG #horn clause #learning #robust #source code: Negative Robust Learning Results from Horn Clause Programs ( PJ , RN , OG ), pp. 258–265 ...
... Negative Robust Learning Results from Horn Claus Programs. 258-265 BibTeX · Sven Koenig, Reid G. Simmons: Passive Distance Learning for Robot Navigation. 266 ...
Negative Robust Learning Results from Horn Claus Programs · Pascal JappyR. NockO. Gascuel. Computer Science. International Conference on Machine Learning. 1996.
Dec 10, 2021 · Negative polarity items. Negative polarity items (NPI) are lexical items that only show up in the scope of negation or semantically related ...
This systematic review contributes to the body of knowledge by clustering all the scientific studies via a hierarchical system that classifies theories and ...