Now showing items 1-4 of 4
Biological and clinical data integration and its applications in healthcare
(Georgia Institute of Technology, 2014-08-21)
Answers to the most complex biological questions are rarely determined solely from the experimental evidence. It requires subsequent analysis of many data sources that are often heterogeneous. Most biological data repositories ...
Representing and learning affordance-based behaviors
(Georgia Institute of Technology, 2014-03-27)
Autonomous robots deployed in complex, natural human environments such as homes and offices need to manipulate numerous objects throughout their deployment. For an autonomous robot to operate effectively in such a setting ...
New formulations for active learning
(Georgia Institute of Technology, 2014-01-10)
In this thesis, we provide computationally efficient algorithms with provable statistical guarantees, for the problem of active learning, by using ideas from sequential analysis. We provide a generic algorithmic framework ...
Learning matrix and functional models in high-dimensions
(Georgia Institute of Technology, 2014-06-20)
Statistical machine learning methods provide us with a principled framework for extracting meaningful information from noisy high-dimensional data sets. A significant feature of such procedures is that the inferences made ...