Multi-task learning with group-specific feature space sharing
N Yousefi, M Georgiopoulos… - Machine Learning and …, 2015 - Springer
When faced with learning a set of inter-related tasks from a limited amount of usable data,
learning each task independently may lead to poor generalization performance.(MTL) …
learning each task independently may lead to poor generalization performance.(MTL) …
面向数据流的多任务多核在线学习算法.
裴乐， 刘群 - Application Research of Computers/Jisuanji …, 2019 - search.ebscohost.com
对于数据流的处理, 现有的在线学习算法在准确性上仍有欠缺, 故提出一种新的多任务多核在线
学习模型用于提高数据流预测的准确性. 在保持多任务多核学习的基础上 …
学习模型用于提高数据流预测的准确性. 在保持多任务多核学习的基础上 …
Improved Multi-Task Learning Based on Local Rademacher Analysis
N Yousefi - 2017 - stars.library.ucf.edu
Considering a single prediction task at a time is the most commonly paradigm in machine
learning practice. This methodology, however, ignores the potentially relevant information …
learning practice. This methodology, however, ignores the potentially relevant information …
Multi-Task Learning Using Neighborhood Kernels
N Yousefi, C Li, M Mollaghasemi… - arXiv preprint arXiv …, 2017 - arxiv.org
This paper introduces a new and effective algorithm for learning kernels in a Multi-Task
Learning (MTL) setting. Although, we consider a MTL scenario here, our approach can be …
Learning (MTL) setting. Although, we consider a MTL scenario here, our approach can be …
Multiple User Context Inference by Fusing Data Sources
J Xu, S Wang, F Yang, J Tang - arXiv preprint arXiv:1703.04215, 2017 - arxiv.org
Inference of user context information, including user's gender, age, marital status, location
and so on, has been proven to be valuable for building context aware recommender system …
and so on, has been proven to be valuable for building context aware recommender system …
On Kernel-base Multi-Task Learning
C Li - 2014 - stars.library.ucf.edu
Abstract Multi-Task Learning (MTL) has been an active research area in machine learning
for two decades. By training multiple relevant tasks simultaneously with information shared …
for two decades. By training multiple relevant tasks simultaneously with information shared …