In this article, we make sense of financial algorithms as new objects of concern for organizational ethnography. We … conceive of algorithms as ‘objects of ignorance’ jeopardizing traditional ethnography from the perspective of its categories … algorithmic trading where automated decision-making without human direction has reached a peak, and show that financial algorithms …

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …

setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning …-expectations and forgetting-factor algorithms. These are generalized along several directions: specifically, we allow for both Student …

is identified using genetic algorithms and 14% reduction in total supply chain costs is the outcome. Moreover, it imposes …

setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning …-expectations and forgetting-factor algorithms. These are generalized along several directions: specifically, we allow for both Student …

learning algorithms. Our system starts as a semi-automatic composition system, but after it gathers (using learning algorithms … algorithms of the proposed system. The paper also presents an example of using the proposed system and some experimental results. …