| Prediction Experiments | We hypothesize that it might because that SVM, as a strong large margin learner, is a more natural approach in a binary classification setting, but might not be the best choice in a four-way or multiclass classification task . |
| Prediction Experiments | Figure 2 and Figure 3 show the experiment results in both time and region classification task . |
| Prediction Experiments | Secondly, in the two tasks, it is observed that the accuracy of the binary region classification task is much higher than the four-way task, thus while the latter benefits significantly from this joint learning scheme of the SME model, but the former might not have the equivalent gain5. |
| The Sparse Mixed-Effects Model | The weight update of MR) and MQ) is bound by the averaged accuracy of the two classification tasks in the training data, which is similar to the notion of minimizing empirical risk (Bahl et al., 1988). |