The Algorithms package provides a variety of sequence and collection operations, letting you cycle over a collection's elements, find combinations and permutations, create a random sample, and more.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
In the GenAI era, program comprehension is not just another skill in the toolbox; it is the toolbox itself. It enables learners to move beyond passive acceptance of AI outputs, guiding them to ...
Stephen McAll, Constant Follower on the catastrophic cuts to BBC Radio Scotland’s Music Programme content. This is a long but important read if you value Scottish music and don’t want to see ...
Abstract: A popular approach to estimate a source location using time difference of arrival (TDOA) measurements is to construct an objective function based on the maximum likelihood (ML) method. An ...
Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...
Abstract: The uncertain capacitated arc routing problem (UCARP) is an important combinatorial optimization problem with many applications in the real world. Genetic programming hyper-heuristic has ...
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