IUI workshop on interactive machine learning

摘要: Many applications of Machine Learning (ML) involve interactions with humans. Humans may provide input to a learning algorithm (in the form labels, demonstrations, corrections, rankings or evaluations) while observing its outputs feedback, predictions executions). Although humans are an integral part process, traditional ML systems used in these agnostic fact that inputs/outputs from/for humans.However, growing community researchers at intersection and human-computer interaction making central developing systems. These efforts include applying design principles systems, using human-subject testing evaluate inspire new methods, changing output channels better leverage human capabilities. With this Interactive (IML) workshop IUI 2013 we aim bring together share ideas, get up-to-date on recent advances, progress towards common framework terminology for field, discuss open questions challenges IML.