Browsing Duke Dissertations by Subject "Machine Learning"

Now showing items 1-2 of 2

Bayesian and Information-Theoretic Learning of High Dimensional Data

Chen, Minhua (2012)

<p>The concept of sparseness is harnessed to learn a low dimensional representation of high dimensional data. This sparseness assumption is exploited in multiple ways. In the Bayesian Elastic Net, a small number of correlated ...
A Q-Learning Approach to Minefield Characterization from Unmanned Aerial Vehicles

Daugherty, Stephen Greyson (2012)

<p>The treasure hunt problem to determine how a computational agent can maximize its ability to detect and/or classify multiple targets located in a region of interest (ROI) populated with multiple obstacles. One particular ...