搜索结果: 1-8 共查到“Multi-task”相关记录8条 . 查询时间(0.25 秒)
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2014/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Minimax Multi-Task Learning a Generalized Loss-Compositional Paradigm MTL
2012/11/23
Since its inception, the modus operandi of multi-task learning (MTL) has been to minimize the task-wise mean of the empirical risks. We introduce a generalized loss-compositional paradigm for MTL that...
Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity
Algorithm Large Multi-task Regression Massive Structured Sparsity
2012/9/17
We develop a highly scalable optimization method called “hierarchical group-thresholding”for solving a multi-task regression model with complex structured sparsity constraints on both input and output...
Multi-Task Rank Learning for Visual Saliency Estimation
Generalization ability multi-task learning pairwise rank learning visual saliency.
2013/7/24
Visual saliency plays an important role in variousvideo applications such as video retargeting and intelligentvideo advertising. However, existing visual saliency estimationapproaches often construct ...
Strategic Change, Multi-Task Managers and Executive Compensation
Strategic Change Multi-Task Managers Executive Compensation
2010/11/5
There is common consensus that executive compensation is strongly tied to firm size and much less so to financial performance. One suspects that observed strategic change in corporations may have an e...
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
Probabilistic Multi-Task Visual Saliency Estimation Video
2010/12/20
In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video.In our approach, the problem of visual saliency estimation
is modeled by simultaneously ...
Online Multi-task Learning with Hard Constraints
Online Multi-task Learning Hard Constraints
2010/3/18
We discuss multi-task online learning when a decision
maker has to deal simultaneously with M
tasks. The tasks are related, which is modeled
by imposing that the M–tuple of actions taken by
the de...
Taking Advantage of Sparsity in Multi-Task Learning
Advantage Sparsity Multi-Task Learning
2010/3/18
We study the problem of estimating multiple linear regression equations for the purpose
of both prediction and variable selection. Following recent work on multi-task learning
Argyriou et al. [2008]...