Abstract
We introduce a class of linear programs with constraints in the form of implications. Such linear programs arise in support vector machine classification, where in addition to explicit datasets to be classified, prior knowledge such as expert experience in the form of logical implications are imposed on the classifier. The overall problem can be viewed either as a semi-infinite linear program or as a linear program with equilibrium constraints which, in either case, can be solved by an equivalent simple linear program under mild assumptions.
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.
