High-quality machine learning models are dependent on access to high-quality training data. When the data are not already available, it is tedious and costly to obtain them. Data markets help with ...
Control allocation algorithms for quadrotor unmanned aerial vehicles (UAVs) avoid incorporating relatively minor aerodynamic effects such as ‘blade flapping' and induced drag in order to simplify the ...
The Adaptive Asset Allocation (AAA) portfolio combines two different tactical approaches (momentum and minimum variance) into one algorithm. The intention of this portfolio recipe is to optimize ...
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the ...
Over the course of six months in 2016, writer James Bloodworth worked for four companies: Amazon, in one of its warehouses; a home-care provider; insurer Admiral’s call centre; and Uber. Drivers for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results