Hayato Yamaguchi

Multi Task Learning with Positive and Unlabeled Data and its Application to Mental State Prediction

In real-world machine learning applications, we are often faced with a situation where only a small number of training samples is available due to high sampling costs. For instance, prediction of mental states such as drowsiness from physiological information is a typical example. To cope with this…