31 citations · 47 across the 11 of their papers we have counts for
3 papers · 1 filter
Conic Multi-Task Classification
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
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 Averag…
Pareto-Path Multi-Task Multiple Kernel Learning
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A traditional and intuitively appealing Multi-Task Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) share…
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Over the past few years, Multi-Kernel Learning (MKL) has received significant attention among data-driven feature selection techniques in the context of kernel-based learning. MKL…