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Conic Multi-Task Classification

Published in arXiv (Cornell University) • Aug 20, 2014
NobleIDNI5P79W15R43S00
Authors:
Cong Li
,
Michael Georgiopoulos
,
Georgios C. Anagnostopoulos

Abstract

Traditionally, Multi-task Learning (MTL) models optimize the average of task-related objective functions, which is an intuitive approach and which we will be referring to as Average MTL. However, a more general framework, referred to as Conic MTL, can be formulated by considering conic combinations ...

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