Now showing items 1-4 of 4
Optimal stochastic and distributed algorithms for machine learning
(Georgia Institute of Technology, 2013-07-08)
Stochastic and data-distributed optimization algorithms have received lots of attention from the machine learning community due to the tremendous demand from the large-scale learning and the big-data related optimization. ...
Syntactic foundations for machine learning
(Georgia Institute of Technology, 2013-04-08)
Machine learning has risen in importance across science, engineering, and business in recent years. Domain experts have begun to understand how their data analysis problems can be solved in a principled and efficient ...
Generalized N-body problems: a framework for scalable computation
(Georgia Institute of Technology, 2013-08-26)
In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need to process ever-increasing volumes of data. Most notably, MapReduce has ...
Constructing mobile manipulation behaviors using expert interfaces and autonomous robot learning
(Georgia Institute of Technology, 2013-11-19)
With current state-of-the-art approaches, development of a single mobile manipulation capability can be a labor-intensive process that presents an impediment to the creation of general purpose household robots. At the ...