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A Unifying Framework for Typical Multi-Task Multiple Kernel Learning
Problems

A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2014

21 January 2014

M. Georgiopoulos

G. Anagnostopoulos

ArXiv (abs)PDF HTML

Papers citing "A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems"

4 / 4 papers shown

Universal Feature Selection for Simultaneous Interpretability of
Multitask Datasets

Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets

Jacob C. Saldinger

98

1

0

21 Mar 2024

On Better Exploring and Exploiting Task Relationships in Multi-Task
Learning: Joint Model and Feature Learning

On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning

393

44

0

03 Apr 2019

Multi-Task Classification Hypothesis Space with Improved Generalization
Bounds

Multi-Task Classification Hypothesis Space with Improved Generalization BoundsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2013

M. Georgiopoulos

G. Anagnostopoulos

299

14

0

09 Dec 2013

Learning to Rank for Blind Image Quality Assessment

Learning to Rank for Blind Image Quality AssessmentIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2013

Xinbo Gao

Xuelong Li

472

149

0

01 Sep 2013

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