%0 Conference Paper %1 liu2017deep %A Liu, Bo %A Wei, Ying %A Zhang, Yu %A Yang, Qiang %B IJCAI %D 2017 %K citedby:scholar:count:64 citedby:scholar:timestamp:2021-1-19 dataset deep dimension dimensionality dimensions high learning low network neural small %P 2287--2293 %T Deep Neural Networks for High Dimension, Low Sample Size Data.

@inproceedings{liu2017deep, added-at = {2021-01-20T00:55:37.000+0100}, author = {Liu, Bo and Wei, Ying and Zhang, Yu and Yang, Qiang}, biburl = {https://www.bibsonomy.org/bibtex/217fd230c08919164849d80baf1f86213/becker}, booktitle = {IJCAI}, description = {On real world data, logistic regression seems to do as well as the neural networks.}, interhash = {f337633e23454c67def7a2aa3a23ff4b}, intrahash = {17fd230c08919164849d80baf1f86213}, keywords = {citedby:scholar:count:64 citedby:scholar:timestamp:2021-1-19 dataset deep dimension dimensionality dimensions high learning low network neural small}, pages = {2287--2293}, timestamp = {2021-01-20T00:56:22.000+0100}, title = {Deep Neural Networks for High Dimension, Low Sample Size Data.}, year = 2017 }