An evolutionary method for training autoencoders for deep learning networks

Autor: Lander, Sean

Introduced in 2006, Deep Learning has made large strides in both supervised an unsupervised learning. The abilities of Deep Learning have been shown to beat both generic and highly specialized classification and clustering techniques with little chan

Externí odkaz: http://pqdtopen.proquest.com/#viewpdf?dispub=10180878

Mission HydroSci.

Autor: Laffey, James M., Griffin, Joe, Sigoloff, Justin, Lander, Sean, Sadler, Troy, Goggins, Sean, Kim, So Mi, Wulff, Eric, Womack, Andrew J.

Publikováno v: ACM International Conference Proceeding Series; 8/14/2017, p1-4, 4p

Cartesian Operations on Distributed Datasets Using Virtual Partitioning.

Autor: Phinney, Michael, Lander, Sean, Spencer, Matt, Shyu, Chi-Ren

Publikováno v: 2016 IEEE Second International Conference on Big Data Computing Service & Applications (BigDataService); 2016, p1-9, 9p

Contrast Mining for Pattern Discovery and Descriptive Analytics to Tailor Sub-Groups of Patients Using Big Data Solutions.

Autor: Phinney MA; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, USA., Zhuang Y; Informatics Institute, University of Missouri, Columbia, Missouri, USA., Lander S; Informatics Institute, University of Missouri, Columbia, Missouri, USA., Sheets L; Informatics Institute, University of Missouri, Columbia, Missouri, USA., Parker JC; School of Medicine, University of Missouri, Columbia, Missouri, USA., Shyu CR; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, USA.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2017; Vol. 245, pp. 544-548.