Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
The information on this website is for educational purposes only, and investing carries risks. Always do your research before investing, and be prepared for potential losses. 18+ and Gambling: Online ...
Abstract: Markov chain Monte Carlo (MCMC) algorithms are widely used in Bayesian inference to compute the posterior distribution of complex models, facilitating sampling from probability distributions ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...
Mongolia turns to digital projects and renewables as mining dependence shows its limits. Its sovereign wealth fund promises fairer sharing of mineral wealth with ordinary citizens. Leaders hope ...
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