Constraint Based Multi-task Learning Approach and its Application
The partial order constraint between tasks is defined.Based upon these constraints,a group of originally independent tasks can be associated.The application of the partial order constraint is explored,a co-evolutionary multitask learning framework is presented,the learning process is a repeatedly process of independently evolution for each task and associated adjustment of tasks.The application of the framework in the construction of the loss curves of pig chilling process is analyzed.Take into consideration of the partial order relation between low humid loss curve and mid humid loss curve,through a process of co-evolution,two reasonable curves can be constructed when there are only a few samples.The test result on four bench test functions suggests this approach is effective in more general condition.