The OSU Government Relations Office provides periodic updates that describe events in Washington, DC and Salem. These updates include insights on how budget and policy decisions at the state and federal level will affect OSU and are issued once or twice a month, depending on the level of activities in...
Sequential supervised learning problems arise in many real applications. This dissertation focuses on two important research directions in sequential supervised learning: efficient training and feature induction.
In the direction of efficient training, we study the training of conditional random fields (CRFs), which provide a flexible and powerful model for sequential...
Falls caused by slips are a major health risk to older adults and place a large financial strain on the health care system. Previous research has found that individuals can learn to recover their balance after being exposed to a series of simulated slips. However, training large numbers of older...