Abstract: Greedy pursuit, which includes matching pursuit (MP) and orthogonal matching pursuit (OMP), is an efficient approach for sparse approximation. However, conventional greedy pursuit algorithms ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Khadija Khartit is a strategy, investment, and funding expert, and ...

Abstract: The goal of quantification learning is to induce models capable of accurately predicting the class distribution for new bags of unseen examples. These models only return the prevalence of ...

matchingR is an R package which quickly computes the Gale-Shapley algorithm, Irving's algorithm for the stable roommate problem, and the top trading cycle algorithm for large matching markets. The ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

While passwords remain the first line of defense for protecting user accounts against unauthorized access, the methods for creating strong passwords and protecting them are continually evolving. For ...

1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...

New York City runs on algorithms, at least 46 different algorithmic tools to be exact. Behind the rapid expansion of these tools is an example of how America’s biggest city is aiming to be transparent ...

Golang implementation of Lawrence's proposed optimization, whereby four-character metaphone keys are represented as four nibbles in an unsigned short. Metaphone is a phonetic algorithm, published by ...