Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

3 January 2019

Papers citing "Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections"

4 / 4 papers shown

Title
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 27 54 0 15 Jun 2020
"Influence Sketching": Finding Influential Samples In Large-Scale Regressions M. Wojnowicz Ben Cruz Xuan Zhao Brian Wallace Matt Wolff Jay Luan Caleb Crable TDI 14 29 0 17 Nov 2016
Wavelet decomposition of software entropy reveals symptoms of malicious code M. Wojnowicz Glenn Chisholm Matt Wolff Xuan Zhao 21 33 0 18 Jul 2016
An algorithm for the principal component analysis of large data sets N. Halko P. Martinsson Y. Shkolnisky M. Tygert 68 277 0 30 Jul 2010