Browsing by Subject "Machine Learning"
Now showing items 5-8 of 8
(2015-08-17)This dissertation focuses on developing new machine learning models and algorithms for the task of learning from data that originates from human-system interactions i.e., the interactive learning paradigm. A wide array of ...
(2008-07-30)Discovery of additive structure is an important step towards understanding a complex multi-dimensional function, because it allows for expressing this function as the sum of lower-dimensional or otherwise simpler components. ...
(2015-05-24)The ability to anticipate the behavior of other vehicles on the road is a key part of how humans drive safely in complex environments. This thesis presents work enabling robotic systems to also anticipate the behavior of ...