Due to uncertainties and time-varying parameters in design, manufacturing, and commissioning, many structural systems often exhibit uncertain and dynamic properties. These systems need time-dependent ...

Arizona State U Teams with Private Partners on Adaptive Learning. By Leila Meyer; 04/08/15; Arizona State University (ASU) has partnered with Cengage Learning and Knewton to develop new active ...

One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty measures unbiased by the ...

Furthermore, it is also important for such a procedure to be adaptive, i.e., to adapt to the outcomes of previous experiments. In this talk, I will describe recent progress in using data-driven ...