The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 21, 2019
Filed:
Mar. 20, 2018
The University of North Carolina AT Chapel Hill, Chapel Hill, NC (US);
The Board of Trustees of the Leland Stanford Junior University, Palo Alto, CA (US);
Temple University - of the Commonwealth System of Higher Education, Philadelphia, PA (US);
Kai Zhang, Chapel Hill, NC (US);
Michael Thomas Max Baiocchi, Redwood City, CA (US);
Zhigen Zhao, Ambler, PA (US);
The University of North Carolina at Chapel Hill, Chapel Hill, NC (US);
The Board of Trustees of the Leland Stanford Junior University, Palo Alto, CA (US);
Temple University—Of the Commonwealth System of Higher Education, Philadelphia, PA (US);
Abstract
Methods, systems, and computer readable media for non-parametric dependence detection using bitwise operations in a computing system are disclosed. One method for non-parametric dependence detection using bitwise operations in a computing system includes receiving a set of p variables, wherein p represents an integer greater than or equal to two. The method also includes generating a set of binary interaction designs (BIDs) using a depth value d and bitwise operations, wherein each of the set of BIDs indicates a dependence structure based on arrangement of partitions in the respective BID. The method further includes determining, using the BIDs generated using bitwise operations in a computing system, non-parametric dependence between the set of p variables. The method also includes performing data analysis involving the set of p variables using the non-parametric dependence between the set of p variables. The method further includes generating output related to the data analysis.