%0 Conference Paper %1 hu2020measuring %A Hu, Xia %A Liu, Weiqing %A Bian, Jiang %A Pei, Jian %B Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining %D 2020 %K model complexity project:functional-subgroups neural networks nn citedby:scholar:count:5 citedby:scholar:timestamp:2022-3-25 %P 1521--1531 %T Measuring model complexity of neural networks with curve activation functions

@inproceedings{hu2020measuring, added-at = {2022-03-25T17:43:24.000+0100}, author = {Hu, Xia and Liu, Weiqing and Bian, Jiang and Pei, Jian}, biburl = {https://www.bibsonomy.org/bibtex/2bcd0872953925b69a5b57f50542e0d5c/becker}, booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, interhash = {cbc21b05f30fee6a8a975f77661a0400}, intrahash = {bcd0872953925b69a5b57f50542e0d5c}, keywords = {model complexity project:functional-subgroups neural networks nn citedby:scholar:count:5 citedby:scholar:timestamp:2022-3-25}, pages = {1521--1531}, timestamp = {2022-03-25T17:43:24.000+0100}, title = {Measuring model complexity of neural networks with curve activation functions}, year = 2020 }