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Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...

Abstract: Let H be a fixed graph with h vertices, let G be a graph on n vertices and suppose that at least /spl epsi/n/sup 2/ edges have to be deleted from it to make it H-free. It is known that in ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

This text is an introduction to functional analysis which requires readers to have a minimal background in linear algebra and real analysis at the first-year graduate level. Prerequisite knowledge of ...

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I am a Ph.D. student in the Computer Science Department at CMU. My advisors are Anupam Gupta and Ryan O'Donnell.