Abstract
An imprecise point p in the plane is a point represented by an imprecision region Ip indicating the set of possible locations of the point p. We study separability problems for a set R of red imprecise points and a set B of blue imprecise points, where the imprecision regions are axis-parallel rectangles and each point p∈R∪B is drawn uniformly at random from Ip. Our results include algorithms for finding certain separators (which separate R from B with probability 1), possible separators (which separate R from B with non-zero probability), most likely separators (which separate R from B with maximum probability), and maximal separators (which maximize the expected number of correctly classified points).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
