— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...
Abstract--This paper presents a GALS-compatible circuitswitched on-chip network that is well suited for use in many-core platforms targeting streaming DSP and embedded applications...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....